Upload Odran LoRA adapter from checkpoint-400
Browse files- .gitattributes +10 -0
- adapter_config.json +39 -0
- adapter_model.safetensors +3 -0
- optimizer_0/.metadata +3 -0
- optimizer_0/__0_0.distcp +3 -0
- optimizer_0/__1_0.distcp +3 -0
- optimizer_0/__2_0.distcp +3 -0
- optimizer_0/__3_0.distcp +3 -0
- pytorch_model_fsdp_0/.metadata +3 -0
- pytorch_model_fsdp_0/__0_0.distcp +3 -0
- pytorch_model_fsdp_0/__1_0.distcp +3 -0
- pytorch_model_fsdp_0/__2_0.distcp +3 -0
- pytorch_model_fsdp_0/__3_0.distcp +3 -0
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- rng_state_2.pth +3 -0
- rng_state_3.pth +3 -0
- scheduler.pt +3 -0
- trainer_state.json +474 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,13 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
|
| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
|
| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
|
| 36 |
+
optimizer_0/.metadata filter=lfs diff=lfs merge=lfs -text
|
| 37 |
+
optimizer_0/__0_0.distcp filter=lfs diff=lfs merge=lfs -text
|
| 38 |
+
optimizer_0/__1_0.distcp filter=lfs diff=lfs merge=lfs -text
|
| 39 |
+
optimizer_0/__2_0.distcp filter=lfs diff=lfs merge=lfs -text
|
| 40 |
+
optimizer_0/__3_0.distcp filter=lfs diff=lfs merge=lfs -text
|
| 41 |
+
pytorch_model_fsdp_0/.metadata filter=lfs diff=lfs merge=lfs -text
|
| 42 |
+
pytorch_model_fsdp_0/__0_0.distcp filter=lfs diff=lfs merge=lfs -text
|
| 43 |
+
pytorch_model_fsdp_0/__1_0.distcp filter=lfs diff=lfs merge=lfs -text
|
| 44 |
+
pytorch_model_fsdp_0/__2_0.distcp filter=lfs diff=lfs merge=lfs -text
|
| 45 |
+
pytorch_model_fsdp_0/__3_0.distcp filter=lfs diff=lfs merge=lfs -text
|
adapter_config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "meta-llama/Llama-3.3-70B-Instruct",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"corda_config": null,
|
| 7 |
+
"eva_config": null,
|
| 8 |
+
"exclude_modules": null,
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": false,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 128,
|
| 17 |
+
"lora_bias": false,
|
| 18 |
+
"lora_dropout": 0.05,
|
| 19 |
+
"megatron_config": null,
|
| 20 |
+
"megatron_core": "megatron.core",
|
| 21 |
+
"modules_to_save": null,
|
| 22 |
+
"peft_type": "LORA",
|
| 23 |
+
"r": 64,
|
| 24 |
+
"rank_pattern": {},
|
| 25 |
+
"revision": null,
|
| 26 |
+
"target_modules": [
|
| 27 |
+
"k_proj",
|
| 28 |
+
"v_proj",
|
| 29 |
+
"down_proj",
|
| 30 |
+
"o_proj",
|
| 31 |
+
"up_proj",
|
| 32 |
+
"q_proj",
|
| 33 |
+
"gate_proj"
|
| 34 |
+
],
|
| 35 |
+
"task_type": "CAUSAL_LM",
|
| 36 |
+
"trainable_token_indices": null,
|
| 37 |
+
"use_dora": false,
|
| 38 |
+
"use_rslora": false
|
| 39 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:80c40321c5a253bc103edccfb039d67d61131205b9f778eaf7d76f93f3fe78bf
|
| 3 |
+
size 3313653448
|
optimizer_0/.metadata
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:64102e617d4661169425a1eb9099a87c4c85d929dcdcd2f37a1ea9ba56fa9114
|
| 3 |
+
size 3150477
|
optimizer_0/__0_0.distcp
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5ac3767cbb3bbbefb5123e6913a380a3b3840a7b75a8a9202a69a29669e4b774
|
| 3 |
+
size 1660282560
|
optimizer_0/__1_0.distcp
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8bea521e304811b3d29548ccf505f5ddc1fab77a1c620f3b71e498b9ece64bcd
|
| 3 |
+
size 1660879924
|
optimizer_0/__2_0.distcp
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:456bd3c6c013a6caf3074cbe1d78b5720043fd8dcff846c6234c235c9c0fc971
|
| 3 |
+
size 1660971455
|
optimizer_0/__3_0.distcp
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a1efba0245759e6302f796e2b5103c317ad28e95a5c04bb2906acacd1d88311e
|
| 3 |
+
size 1660883391
|
pytorch_model_fsdp_0/.metadata
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6209ef27fbac7993ab30411d98173adb3224b177cbaf741e474b0ae6005c32a4
|
| 3 |
+
size 1168104
|
pytorch_model_fsdp_0/__0_0.distcp
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:38ba202148af62fc18f9d458d9ecd20888e76845b370b8383b2f17f6ad6cfa5b
|
| 3 |
+
size 830141280
|
pytorch_model_fsdp_0/__1_0.distcp
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:378db2596c9edcef01f84acd5617a72e33b18d1fa648368fee7df3eea1dd511a
|
| 3 |
+
size 830141280
|
pytorch_model_fsdp_0/__2_0.distcp
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:17e568a0c7f2e4b6e5142d746618699aff120285a93e5b4fa2132871c3b58b5d
|
| 3 |
+
size 830141280
|
pytorch_model_fsdp_0/__3_0.distcp
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cd0904da9756201f4dc6d64d44a433f298fc4f4a509405a4fc2821bc2def975f
|
| 3 |
+
size 830141280
|
rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2fd1bb2644abcf50c0ce4c4061a86a0fe7e7faf33cbcee057ad56c2a3f76ae9c
|
| 3 |
+
size 15429
|
rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:83ed0ce5cab10013ab07588ecaa5d6b10a4a89fa2038a6736ac6b0c81856217c
|
| 3 |
+
size 15429
|
rng_state_2.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ec38ee0bc967d3f569507a136e3a4987c172d113b2fce0b961487add77525096
|
| 3 |
+
size 15429
|
rng_state_3.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d7fc6aa996e6c160c19fe4bd731880671dc2160b7b11730b48b6a56b60e15ccc
|
| 3 |
+
size 15429
|
scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f7f16f0344a2a18efc9191bb5c94435a1f6aedcd9fd51f2cd37b5387038f2ff3
|
| 3 |
+
size 1465
|
trainer_state.json
ADDED
|
@@ -0,0 +1,474 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_global_step": null,
|
| 3 |
+
"best_metric": null,
|
| 4 |
+
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.43106351451471675,
|
| 6 |
+
"eval_steps": 50,
|
| 7 |
+
"global_step": 400,
|
| 8 |
+
"is_hyper_param_search": false,
|
| 9 |
+
"is_local_process_zero": true,
|
| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.01077658786286792,
|
| 14 |
+
"grad_norm": 0.7500938773155212,
|
| 15 |
+
"learning_rate": 1.6071428571428572e-05,
|
| 16 |
+
"loss": 0.3934,
|
| 17 |
+
"mean_token_accuracy": 0.9211844336241484,
|
| 18 |
+
"num_tokens": 860689.0,
|
| 19 |
+
"step": 10
|
| 20 |
+
},
|
| 21 |
+
{
|
| 22 |
+
"epoch": 0.02155317572573584,
|
| 23 |
+
"grad_norm": 0.1784556359052658,
|
| 24 |
+
"learning_rate": 3.392857142857143e-05,
|
| 25 |
+
"loss": 0.3003,
|
| 26 |
+
"mean_token_accuracy": 0.9324536714702845,
|
| 27 |
+
"num_tokens": 1727975.0,
|
| 28 |
+
"step": 20
|
| 29 |
+
},
|
| 30 |
+
{
|
| 31 |
+
"epoch": 0.03232976358860376,
|
| 32 |
+
"grad_norm": 0.17185558378696442,
|
| 33 |
+
"learning_rate": 4.9999351014638695e-05,
|
| 34 |
+
"loss": 0.2695,
|
| 35 |
+
"mean_token_accuracy": 0.9337602369487286,
|
| 36 |
+
"num_tokens": 2596794.0,
|
| 37 |
+
"step": 30
|
| 38 |
+
},
|
| 39 |
+
{
|
| 40 |
+
"epoch": 0.04310635145147168,
|
| 41 |
+
"grad_norm": 0.21529479324817657,
|
| 42 |
+
"learning_rate": 4.992151353344481e-05,
|
| 43 |
+
"loss": 0.2706,
|
| 44 |
+
"mean_token_accuracy": 0.9353477034717799,
|
| 45 |
+
"num_tokens": 3463293.0,
|
| 46 |
+
"step": 40
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 0.053882939314339594,
|
| 50 |
+
"grad_norm": 0.3255652189254761,
|
| 51 |
+
"learning_rate": 4.971434188480771e-05,
|
| 52 |
+
"loss": 0.2387,
|
| 53 |
+
"mean_token_accuracy": 0.9378637354820967,
|
| 54 |
+
"num_tokens": 4305832.0,
|
| 55 |
+
"step": 50
|
| 56 |
+
},
|
| 57 |
+
{
|
| 58 |
+
"epoch": 0.053882939314339594,
|
| 59 |
+
"eval_loss": NaN,
|
| 60 |
+
"eval_mean_token_accuracy": 0.9415765093891534,
|
| 61 |
+
"eval_num_tokens": 4305832.0,
|
| 62 |
+
"eval_runtime": 810.7208,
|
| 63 |
+
"eval_samples_per_second": 1.495,
|
| 64 |
+
"eval_steps_per_second": 0.374,
|
| 65 |
+
"step": 50
|
| 66 |
+
},
|
| 67 |
+
{
|
| 68 |
+
"epoch": 0.06465952717720752,
|
| 69 |
+
"grad_norm": 0.20627367496490479,
|
| 70 |
+
"learning_rate": 4.9378911219025094e-05,
|
| 71 |
+
"loss": 0.2021,
|
| 72 |
+
"mean_token_accuracy": 0.9466543391346931,
|
| 73 |
+
"num_tokens": 5153764.0,
|
| 74 |
+
"step": 60
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.07543611504007544,
|
| 78 |
+
"grad_norm": 0.20740991830825806,
|
| 79 |
+
"learning_rate": 4.891696230701104e-05,
|
| 80 |
+
"loss": 0.2537,
|
| 81 |
+
"mean_token_accuracy": 0.9357574578374624,
|
| 82 |
+
"num_tokens": 6003237.0,
|
| 83 |
+
"step": 70
|
| 84 |
+
},
|
| 85 |
+
{
|
| 86 |
+
"epoch": 0.08621270290294336,
|
| 87 |
+
"grad_norm": 0.2172331064939499,
|
| 88 |
+
"learning_rate": 4.833089250628786e-05,
|
| 89 |
+
"loss": 0.2203,
|
| 90 |
+
"mean_token_accuracy": 0.9420852873474359,
|
| 91 |
+
"num_tokens": 6851328.0,
|
| 92 |
+
"step": 80
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.09698929076581128,
|
| 96 |
+
"grad_norm": 0.28385892510414124,
|
| 97 |
+
"learning_rate": 4.762374331951703e-05,
|
| 98 |
+
"loss": 0.1894,
|
| 99 |
+
"mean_token_accuracy": 0.9459741819649935,
|
| 100 |
+
"num_tokens": 7711868.0,
|
| 101 |
+
"step": 90
|
| 102 |
+
},
|
| 103 |
+
{
|
| 104 |
+
"epoch": 0.10776587862867919,
|
| 105 |
+
"grad_norm": 0.24213817715644836,
|
| 106 |
+
"learning_rate": 4.679918461013628e-05,
|
| 107 |
+
"loss": 0.2403,
|
| 108 |
+
"mean_token_accuracy": 0.9376974884420634,
|
| 109 |
+
"num_tokens": 8558775.0,
|
| 110 |
+
"step": 100
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.10776587862867919,
|
| 114 |
+
"eval_loss": NaN,
|
| 115 |
+
"eval_mean_token_accuracy": 0.94512011332087,
|
| 116 |
+
"eval_num_tokens": 8558775.0,
|
| 117 |
+
"eval_runtime": 808.9526,
|
| 118 |
+
"eval_samples_per_second": 1.498,
|
| 119 |
+
"eval_steps_per_second": 0.375,
|
| 120 |
+
"step": 100
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 0.11854246649154711,
|
| 124 |
+
"grad_norm": 0.18466246128082275,
|
| 125 |
+
"learning_rate": 4.5861495557018205e-05,
|
| 126 |
+
"loss": 0.2379,
|
| 127 |
+
"mean_token_accuracy": 0.9391791693866253,
|
| 128 |
+
"num_tokens": 9415930.0,
|
| 129 |
+
"step": 110
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.12931905435441504,
|
| 133 |
+
"grad_norm": 0.14023905992507935,
|
| 134 |
+
"learning_rate": 4.4815542446989376e-05,
|
| 135 |
+
"loss": 0.2174,
|
| 136 |
+
"mean_token_accuracy": 0.938202116638422,
|
| 137 |
+
"num_tokens": 10264693.0,
|
| 138 |
+
"step": 120
|
| 139 |
+
},
|
| 140 |
+
{
|
| 141 |
+
"epoch": 0.14009564221728296,
|
| 142 |
+
"grad_norm": 0.14716534316539764,
|
| 143 |
+
"learning_rate": 4.366675342045903e-05,
|
| 144 |
+
"loss": 0.1919,
|
| 145 |
+
"mean_token_accuracy": 0.949906887114048,
|
| 146 |
+
"num_tokens": 11131720.0,
|
| 147 |
+
"step": 130
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 0.15087223008015088,
|
| 151 |
+
"grad_norm": 0.1462382823228836,
|
| 152 |
+
"learning_rate": 4.242109030121908e-05,
|
| 153 |
+
"loss": 0.1989,
|
| 154 |
+
"mean_token_accuracy": 0.9474684063345193,
|
| 155 |
+
"num_tokens": 11994844.0,
|
| 156 |
+
"step": 140
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.1616488179430188,
|
| 160 |
+
"grad_norm": 0.18550986051559448,
|
| 161 |
+
"learning_rate": 4.10850176566091e-05,
|
| 162 |
+
"loss": 0.2512,
|
| 163 |
+
"mean_token_accuracy": 0.9342048281803728,
|
| 164 |
+
"num_tokens": 12853647.0,
|
| 165 |
+
"step": 150
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.1616488179430188,
|
| 169 |
+
"eval_loss": NaN,
|
| 170 |
+
"eval_mean_token_accuracy": 0.9469890043680423,
|
| 171 |
+
"eval_num_tokens": 12853647.0,
|
| 172 |
+
"eval_runtime": 805.1581,
|
| 173 |
+
"eval_samples_per_second": 1.505,
|
| 174 |
+
"eval_steps_per_second": 0.376,
|
| 175 |
+
"step": 150
|
| 176 |
+
},
|
| 177 |
+
{
|
| 178 |
+
"epoch": 0.17242540580588672,
|
| 179 |
+
"grad_norm": 0.15864673256874084,
|
| 180 |
+
"learning_rate": 3.966546924861362e-05,
|
| 181 |
+
"loss": 0.2514,
|
| 182 |
+
"mean_token_accuracy": 0.9352497901767493,
|
| 183 |
+
"num_tokens": 13698484.0,
|
| 184 |
+
"step": 160
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.18320199366875464,
|
| 188 |
+
"grad_norm": 0.18158355355262756,
|
| 189 |
+
"learning_rate": 3.816981204999882e-05,
|
| 190 |
+
"loss": 0.1831,
|
| 191 |
+
"mean_token_accuracy": 0.9467186477035284,
|
| 192 |
+
"num_tokens": 14562607.0,
|
| 193 |
+
"step": 170
|
| 194 |
+
},
|
| 195 |
+
{
|
| 196 |
+
"epoch": 0.19397858153162256,
|
| 197 |
+
"grad_norm": 0.1639261543750763,
|
| 198 |
+
"learning_rate": 3.660580801223301e-05,
|
| 199 |
+
"loss": 0.2392,
|
| 200 |
+
"mean_token_accuracy": 0.9383120592683554,
|
| 201 |
+
"num_tokens": 15431962.0,
|
| 202 |
+
"step": 180
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"epoch": 0.20475516939449048,
|
| 206 |
+
"grad_norm": 0.1809382289648056,
|
| 207 |
+
"learning_rate": 3.498157378360205e-05,
|
| 208 |
+
"loss": 0.2411,
|
| 209 |
+
"mean_token_accuracy": 0.9381648041307926,
|
| 210 |
+
"num_tokens": 16292904.0,
|
| 211 |
+
"step": 190
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"epoch": 0.21553175725735838,
|
| 215 |
+
"grad_norm": 0.17740917205810547,
|
| 216 |
+
"learning_rate": 3.3305538586569115e-05,
|
| 217 |
+
"loss": 0.2272,
|
| 218 |
+
"mean_token_accuracy": 0.9419581316411495,
|
| 219 |
+
"num_tokens": 17159109.0,
|
| 220 |
+
"step": 200
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"epoch": 0.21553175725735838,
|
| 224 |
+
"eval_loss": NaN,
|
| 225 |
+
"eval_mean_token_accuracy": 0.948202914924118,
|
| 226 |
+
"eval_num_tokens": 17159109.0,
|
| 227 |
+
"eval_runtime": 807.2101,
|
| 228 |
+
"eval_samples_per_second": 1.501,
|
| 229 |
+
"eval_steps_per_second": 0.375,
|
| 230 |
+
"step": 200
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 0.2263083451202263,
|
| 234 |
+
"grad_norm": 0.17101362347602844,
|
| 235 |
+
"learning_rate": 3.158640047298099e-05,
|
| 236 |
+
"loss": 0.22,
|
| 237 |
+
"mean_token_accuracy": 0.940649115294218,
|
| 238 |
+
"num_tokens": 18024050.0,
|
| 239 |
+
"step": 210
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"epoch": 0.23708493298309422,
|
| 243 |
+
"grad_norm": 0.20847490429878235,
|
| 244 |
+
"learning_rate": 2.9833081184141316e-05,
|
| 245 |
+
"loss": 0.2464,
|
| 246 |
+
"mean_token_accuracy": 0.9387204153463244,
|
| 247 |
+
"num_tokens": 18878935.0,
|
| 248 |
+
"step": 220
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.24786152084596214,
|
| 252 |
+
"grad_norm": 0.15264753997325897,
|
| 253 |
+
"learning_rate": 2.8054679850011827e-05,
|
| 254 |
+
"loss": 0.2191,
|
| 255 |
+
"mean_token_accuracy": 0.9407731007784605,
|
| 256 |
+
"num_tokens": 19736346.0,
|
| 257 |
+
"step": 230
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"epoch": 0.2586381087088301,
|
| 261 |
+
"grad_norm": 0.18150846660137177,
|
| 262 |
+
"learning_rate": 2.6260425767826875e-05,
|
| 263 |
+
"loss": 0.2076,
|
| 264 |
+
"mean_token_accuracy": 0.944101719558239,
|
| 265 |
+
"num_tokens": 20585921.0,
|
| 266 |
+
"step": 240
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 0.269414696571698,
|
| 270 |
+
"grad_norm": 0.14254361391067505,
|
| 271 |
+
"learning_rate": 2.4459630505184034e-05,
|
| 272 |
+
"loss": 0.2322,
|
| 273 |
+
"mean_token_accuracy": 0.9364934735000133,
|
| 274 |
+
"num_tokens": 21445814.0,
|
| 275 |
+
"step": 250
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.269414696571698,
|
| 279 |
+
"eval_loss": NaN,
|
| 280 |
+
"eval_mean_token_accuracy": 0.9491029914849662,
|
| 281 |
+
"eval_num_tokens": 21445814.0,
|
| 282 |
+
"eval_runtime": 807.3804,
|
| 283 |
+
"eval_samples_per_second": 1.501,
|
| 284 |
+
"eval_steps_per_second": 0.375,
|
| 285 |
+
"step": 250
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.2801912844345659,
|
| 289 |
+
"grad_norm": 0.15035845339298248,
|
| 290 |
+
"learning_rate": 2.2661639576179678e-05,
|
| 291 |
+
"loss": 0.2346,
|
| 292 |
+
"mean_token_accuracy": 0.9386640608310699,
|
| 293 |
+
"num_tokens": 22309490.0,
|
| 294 |
+
"step": 260
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"epoch": 0.2909678722974338,
|
| 298 |
+
"grad_norm": 0.15642204880714417,
|
| 299 |
+
"learning_rate": 2.087578394137369e-05,
|
| 300 |
+
"loss": 0.2508,
|
| 301 |
+
"mean_token_accuracy": 0.934289775043726,
|
| 302 |
+
"num_tokens": 23187912.0,
|
| 303 |
+
"step": 270
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.30174446016030176,
|
| 307 |
+
"grad_norm": 0.14067009091377258,
|
| 308 |
+
"learning_rate": 1.9111331583282106e-05,
|
| 309 |
+
"loss": 0.2967,
|
| 310 |
+
"mean_token_accuracy": 0.929693965613842,
|
| 311 |
+
"num_tokens": 24048802.0,
|
| 312 |
+
"step": 280
|
| 313 |
+
},
|
| 314 |
+
{
|
| 315 |
+
"epoch": 0.31252104802316966,
|
| 316 |
+
"grad_norm": 0.14918063580989838,
|
| 317 |
+
"learning_rate": 1.7377439408704392e-05,
|
| 318 |
+
"loss": 0.2311,
|
| 319 |
+
"mean_token_accuracy": 0.9404968038201332,
|
| 320 |
+
"num_tokens": 24904585.0,
|
| 321 |
+
"step": 290
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.3232976358860376,
|
| 325 |
+
"grad_norm": 0.174724742770195,
|
| 326 |
+
"learning_rate": 1.5683105727495778e-05,
|
| 327 |
+
"loss": 0.2107,
|
| 328 |
+
"mean_token_accuracy": 0.9439530853182078,
|
| 329 |
+
"num_tokens": 25773494.0,
|
| 330 |
+
"step": 300
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 0.3232976358860376,
|
| 334 |
+
"eval_loss": NaN,
|
| 335 |
+
"eval_mean_token_accuracy": 0.9496467538399271,
|
| 336 |
+
"eval_num_tokens": 25773494.0,
|
| 337 |
+
"eval_runtime": 805.4422,
|
| 338 |
+
"eval_samples_per_second": 1.505,
|
| 339 |
+
"eval_steps_per_second": 0.376,
|
| 340 |
+
"step": 300
|
| 341 |
+
},
|
| 342 |
+
{
|
| 343 |
+
"epoch": 0.3340742237489055,
|
| 344 |
+
"grad_norm": 0.18415142595767975,
|
| 345 |
+
"learning_rate": 1.4037123554403783e-05,
|
| 346 |
+
"loss": 0.2651,
|
| 347 |
+
"mean_token_accuracy": 0.934630136191845,
|
| 348 |
+
"num_tokens": 26626532.0,
|
| 349 |
+
"step": 310
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
+
"epoch": 0.34485081161177344,
|
| 353 |
+
"grad_norm": 0.17664654552936554,
|
| 354 |
+
"learning_rate": 1.2448034976316394e-05,
|
| 355 |
+
"loss": 0.2156,
|
| 356 |
+
"mean_token_accuracy": 0.9397824894636869,
|
| 357 |
+
"num_tokens": 27489072.0,
|
| 358 |
+
"step": 320
|
| 359 |
+
},
|
| 360 |
+
{
|
| 361 |
+
"epoch": 0.35562739947464134,
|
| 362 |
+
"grad_norm": 0.18474246561527252,
|
| 363 |
+
"learning_rate": 1.0924086821740436e-05,
|
| 364 |
+
"loss": 0.253,
|
| 365 |
+
"mean_token_accuracy": 0.9348474022001028,
|
| 366 |
+
"num_tokens": 28356866.0,
|
| 367 |
+
"step": 330
|
| 368 |
+
},
|
| 369 |
+
{
|
| 370 |
+
"epoch": 0.3664039873375093,
|
| 371 |
+
"grad_norm": 0.17681080102920532,
|
| 372 |
+
"learning_rate": 9.47318786257029e-06,
|
| 373 |
+
"loss": 0.2299,
|
| 374 |
+
"mean_token_accuracy": 0.9430933259427547,
|
| 375 |
+
"num_tokens": 29201710.0,
|
| 376 |
+
"step": 340
|
| 377 |
+
},
|
| 378 |
+
{
|
| 379 |
+
"epoch": 0.3771805752003772,
|
| 380 |
+
"grad_norm": 0.13366708159446716,
|
| 381 |
+
"learning_rate": 8.102867770255338e-06,
|
| 382 |
+
"loss": 0.1968,
|
| 383 |
+
"mean_token_accuracy": 0.9477964635938406,
|
| 384 |
+
"num_tokens": 30051104.0,
|
| 385 |
+
"step": 350
|
| 386 |
+
},
|
| 387 |
+
{
|
| 388 |
+
"epoch": 0.3771805752003772,
|
| 389 |
+
"eval_loss": NaN,
|
| 390 |
+
"eval_mean_token_accuracy": 0.9500517268778861,
|
| 391 |
+
"eval_num_tokens": 30051104.0,
|
| 392 |
+
"eval_runtime": 804.9943,
|
| 393 |
+
"eval_samples_per_second": 1.506,
|
| 394 |
+
"eval_steps_per_second": 0.376,
|
| 395 |
+
"step": 350
|
| 396 |
+
},
|
| 397 |
+
{
|
| 398 |
+
"epoch": 0.3879571630632451,
|
| 399 |
+
"grad_norm": 0.16616250574588776,
|
| 400 |
+
"learning_rate": 6.820238039369648e-06,
|
| 401 |
+
"loss": 0.2548,
|
| 402 |
+
"mean_token_accuracy": 0.9345032583922148,
|
| 403 |
+
"num_tokens": 30917570.0,
|
| 404 |
+
"step": 360
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 0.398733750926113,
|
| 408 |
+
"grad_norm": 0.15461881458759308,
|
| 409 |
+
"learning_rate": 5.6319550813771105e-06,
|
| 410 |
+
"loss": 0.2211,
|
| 411 |
+
"mean_token_accuracy": 0.9464546106755733,
|
| 412 |
+
"num_tokens": 31790142.0,
|
| 413 |
+
"step": 370
|
| 414 |
+
},
|
| 415 |
+
{
|
| 416 |
+
"epoch": 0.40951033878898097,
|
| 417 |
+
"grad_norm": 0.17302246391773224,
|
| 418 |
+
"learning_rate": 4.544185680123053e-06,
|
| 419 |
+
"loss": 0.2306,
|
| 420 |
+
"mean_token_accuracy": 0.9386022459715605,
|
| 421 |
+
"num_tokens": 32636883.0,
|
| 422 |
+
"step": 380
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.42028692665184886,
|
| 426 |
+
"grad_norm": 0.1838221251964569,
|
| 427 |
+
"learning_rate": 3.562574988326342e-06,
|
| 428 |
+
"loss": 0.1777,
|
| 429 |
+
"mean_token_accuracy": 0.9493914619088173,
|
| 430 |
+
"num_tokens": 33496196.0,
|
| 431 |
+
"step": 390
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.43106351451471675,
|
| 435 |
+
"grad_norm": 0.1729215532541275,
|
| 436 |
+
"learning_rate": 2.6922172311593885e-06,
|
| 437 |
+
"loss": 0.2097,
|
| 438 |
+
"mean_token_accuracy": 0.9471536636352539,
|
| 439 |
+
"num_tokens": 34365750.0,
|
| 440 |
+
"step": 400
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 0.43106351451471675,
|
| 444 |
+
"eval_loss": NaN,
|
| 445 |
+
"eval_mean_token_accuracy": 0.9508995474761862,
|
| 446 |
+
"eval_num_tokens": 34365750.0,
|
| 447 |
+
"eval_runtime": 827.3579,
|
| 448 |
+
"eval_samples_per_second": 1.465,
|
| 449 |
+
"eval_steps_per_second": 0.366,
|
| 450 |
+
"step": 400
|
| 451 |
+
}
|
| 452 |
+
],
|
| 453 |
+
"logging_steps": 10,
|
| 454 |
+
"max_steps": 464,
|
| 455 |
+
"num_input_tokens_seen": 0,
|
| 456 |
+
"num_train_epochs": 1,
|
| 457 |
+
"save_steps": 50,
|
| 458 |
+
"stateful_callbacks": {
|
| 459 |
+
"TrainerControl": {
|
| 460 |
+
"args": {
|
| 461 |
+
"should_epoch_stop": false,
|
| 462 |
+
"should_evaluate": false,
|
| 463 |
+
"should_log": false,
|
| 464 |
+
"should_save": true,
|
| 465 |
+
"should_training_stop": false
|
| 466 |
+
},
|
| 467 |
+
"attributes": {}
|
| 468 |
+
}
|
| 469 |
+
},
|
| 470 |
+
"total_flos": 3.5713262092602573e+18,
|
| 471 |
+
"train_batch_size": 1,
|
| 472 |
+
"trial_name": null,
|
| 473 |
+
"trial_params": null
|
| 474 |
+
}
|