Training in progress, step 50, checkpoint

last-checkpoint/README.md

@@ -0,0 +1,202 @@
+---
+base_model: unsloth/Qwen2.5-3B
+library_name: peft
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.13.2

last-checkpoint/adapter_config.json

@@ -0,0 +1,34 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "unsloth/Qwen2.5-3B",
+  "bias": "none",
+  "fan_in_fan_out": null,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 128,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "k_proj",
+    "up_proj",
+    "o_proj",
+    "down_proj",
+    "gate_proj",
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

last-checkpoint/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b6e0331d17cd98f0507f972cbd2b1c61e0588595fcf0dd52eddf7101bd16b015
+size 479005064

last-checkpoint/added_tokens.json

@@ -0,0 +1,25 @@
+{
+  "</tool_call>": 151658,
+  "<tool_call>": 151657,
+  "<|PAD_TOKEN|>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

last-checkpoint/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cba0bfb5ad32492a69a387d76451ddbf003156105183470b11b298ac4598df1b
+size 958299770

last-checkpoint/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8632df73ebf86a6fa94391398c0ae061ed170b5092ded83353ffff4fb9ea6c9e
+size 14244

last-checkpoint/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d5335737b4b4d079cdec612fe6ee661ed4d29f9e0e55eb4eada44a9677240228
+size 1064

last-checkpoint/special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|PAD_TOKEN|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

last-checkpoint/tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fab42efe8d17406525a9154b728cf9e957629a8ed7ce997770efdd71128c6a1a
+size 11422086

last-checkpoint/tokenizer_config.json

@@ -0,0 +1,216 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<|PAD_TOKEN|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|PAD_TOKEN|>",
+  "padding_side": "left",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

last-checkpoint/trainer_state.json

@@ -0,0 +1,408 @@
+{
+  "best_metric": 3.2780401706695557,
+  "best_model_checkpoint": "miner_id_24/checkpoint-50",
+  "epoch": 0.1557632398753894,
+  "eval_steps": 50,
+  "global_step": 50,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.003115264797507788,
+      "grad_norm": 0.8095843195915222,
+      "learning_rate": 5e-06,
+      "loss": 2.8295,
+      "step": 1
+    },
+    {
+      "epoch": 0.003115264797507788,
+      "eval_loss": 3.8522043228149414,
+      "eval_runtime": 28.5073,
+      "eval_samples_per_second": 18.978,
+      "eval_steps_per_second": 9.506,
+      "step": 1
+    },
+    {
+      "epoch": 0.006230529595015576,
+      "grad_norm": 1.3660649061203003,
+      "learning_rate": 1e-05,
+      "loss": 2.9303,
+      "step": 2
+    },
+    {
+      "epoch": 0.009345794392523364,
+      "grad_norm": 0.8571799397468567,
+      "learning_rate": 1.5e-05,
+      "loss": 3.0258,
+      "step": 3
+    },
+    {
+      "epoch": 0.012461059190031152,
+      "grad_norm": 1.364398717880249,
+      "learning_rate": 2e-05,
+      "loss": 3.3258,
+      "step": 4
+    },
+    {
+      "epoch": 0.01557632398753894,
+      "grad_norm": 1.1109404563903809,
+      "learning_rate": 2.5e-05,
+      "loss": 3.0841,
+      "step": 5
+    },
+    {
+      "epoch": 0.018691588785046728,
+      "grad_norm": 1.134804606437683,
+      "learning_rate": 3e-05,
+      "loss": 3.2729,
+      "step": 6
+    },
+    {
+      "epoch": 0.021806853582554516,
+      "grad_norm": 1.07551109790802,
+      "learning_rate": 3.5e-05,
+      "loss": 3.2902,
+      "step": 7
+    },
+    {
+      "epoch": 0.024922118380062305,
+      "grad_norm": 1.0910909175872803,
+      "learning_rate": 4e-05,
+      "loss": 3.11,
+      "step": 8
+    },
+    {
+      "epoch": 0.028037383177570093,
+      "grad_norm": 1.0797162055969238,
+      "learning_rate": 4.5e-05,
+      "loss": 3.3419,
+      "step": 9
+    },
+    {
+      "epoch": 0.03115264797507788,
+      "grad_norm": 0.9404971599578857,
+      "learning_rate": 5e-05,
+      "loss": 3.2413,
+      "step": 10
+    },
+    {
+      "epoch": 0.03426791277258567,
+      "grad_norm": 1.010124921798706,
+      "learning_rate": 5.500000000000001e-05,
+      "loss": 3.132,
+      "step": 11
+    },
+    {
+      "epoch": 0.037383177570093455,
+      "grad_norm": 0.8721980452537537,
+      "learning_rate": 6e-05,
+      "loss": 3.2669,
+      "step": 12
+    },
+    {
+      "epoch": 0.040498442367601244,
+      "grad_norm": 0.8499426245689392,
+      "learning_rate": 6.500000000000001e-05,
+      "loss": 3.1173,
+      "step": 13
+    },
+    {
+      "epoch": 0.04361370716510903,
+      "grad_norm": 0.981315016746521,
+      "learning_rate": 7e-05,
+      "loss": 3.0527,
+      "step": 14
+    },
+    {
+      "epoch": 0.04672897196261682,
+      "grad_norm": 1.1930896043777466,
+      "learning_rate": 7.500000000000001e-05,
+      "loss": 3.1626,
+      "step": 15
+    },
+    {
+      "epoch": 0.04984423676012461,
+      "grad_norm": 0.9034113883972168,
+      "learning_rate": 8e-05,
+      "loss": 3.0774,
+      "step": 16
+    },
+    {
+      "epoch": 0.0529595015576324,
+      "grad_norm": 0.955039918422699,
+      "learning_rate": 8.5e-05,
+      "loss": 2.9246,
+      "step": 17
+    },
+    {
+      "epoch": 0.056074766355140186,
+      "grad_norm": 0.8980234265327454,
+      "learning_rate": 9e-05,
+      "loss": 3.12,
+      "step": 18
+    },
+    {
+      "epoch": 0.059190031152647975,
+      "grad_norm": 0.8812401294708252,
+      "learning_rate": 9.5e-05,
+      "loss": 3.0346,
+      "step": 19
+    },
+    {
+      "epoch": 0.06230529595015576,
+      "grad_norm": 1.1859005689620972,
+      "learning_rate": 0.0001,
+      "loss": 3.2434,
+      "step": 20
+    },
+    {
+      "epoch": 0.06542056074766354,
+      "grad_norm": 1.1706912517547607,
+      "learning_rate": 9.999238475781957e-05,
+      "loss": 3.0611,
+      "step": 21
+    },
+    {
+      "epoch": 0.06853582554517133,
+      "grad_norm": 1.1321327686309814,
+      "learning_rate": 9.99695413509548e-05,
+      "loss": 3.2715,
+      "step": 22
+    },
+    {
+      "epoch": 0.07165109034267912,
+      "grad_norm": 1.0732911825180054,
+      "learning_rate": 9.99314767377287e-05,
+      "loss": 3.0638,
+      "step": 23
+    },
+    {
+      "epoch": 0.07476635514018691,
+      "grad_norm": 1.022263526916504,
+      "learning_rate": 9.987820251299122e-05,
+      "loss": 3.2231,
+      "step": 24
+    },
+    {
+      "epoch": 0.0778816199376947,
+      "grad_norm": 1.0845063924789429,
+      "learning_rate": 9.980973490458728e-05,
+      "loss": 3.1019,
+      "step": 25
+    },
+    {
+      "epoch": 0.08099688473520249,
+      "grad_norm": 0.9704027771949768,
+      "learning_rate": 9.972609476841367e-05,
+      "loss": 3.2721,
+      "step": 26
+    },
+    {
+      "epoch": 0.08411214953271028,
+      "grad_norm": 0.97568279504776,
+      "learning_rate": 9.962730758206611e-05,
+      "loss": 3.0416,
+      "step": 27
+    },
+    {
+      "epoch": 0.08722741433021806,
+      "grad_norm": 0.9764516949653625,
+      "learning_rate": 9.951340343707852e-05,
+      "loss": 3.1813,
+      "step": 28
+    },
+    {
+      "epoch": 0.09034267912772585,
+      "grad_norm": 1.113892674446106,
+      "learning_rate": 9.938441702975689e-05,
+      "loss": 3.1122,
+      "step": 29
+    },
+    {
+      "epoch": 0.09345794392523364,
+      "grad_norm": 0.993804395198822,
+      "learning_rate": 9.924038765061042e-05,
+      "loss": 3.1435,
+      "step": 30
+    },
+    {
+      "epoch": 0.09657320872274143,
+      "grad_norm": 1.0934245586395264,
+      "learning_rate": 9.908135917238321e-05,
+      "loss": 3.3914,
+      "step": 31
+    },
+    {
+      "epoch": 0.09968847352024922,
+      "grad_norm": 1.153272032737732,
+      "learning_rate": 9.890738003669029e-05,
+      "loss": 3.2041,
+      "step": 32
+    },
+    {
+      "epoch": 0.102803738317757,
+      "grad_norm": 1.1590474843978882,
+      "learning_rate": 9.871850323926177e-05,
+      "loss": 3.2552,
+      "step": 33
+    },
+    {
+      "epoch": 0.1059190031152648,
+      "grad_norm": 1.047549843788147,
+      "learning_rate": 9.851478631379982e-05,
+      "loss": 3.2603,
+      "step": 34
+    },
+    {
+      "epoch": 0.10903426791277258,
+      "grad_norm": 1.0137312412261963,
+      "learning_rate": 9.829629131445342e-05,
+      "loss": 3.0757,
+      "step": 35
+    },
+    {
+      "epoch": 0.11214953271028037,
+      "grad_norm": 1.6114274263381958,
+      "learning_rate": 9.806308479691595e-05,
+      "loss": 3.1321,
+      "step": 36
+    },
+    {
+      "epoch": 0.11526479750778816,
+      "grad_norm": 1.1308033466339111,
+      "learning_rate": 9.781523779815179e-05,
+      "loss": 3.047,
+      "step": 37
+    },
+    {
+      "epoch": 0.11838006230529595,
+      "grad_norm": 1.0001444816589355,
+      "learning_rate": 9.755282581475769e-05,
+      "loss": 3.3381,
+      "step": 38
+    },
+    {
+      "epoch": 0.12149532710280374,
+      "grad_norm": 1.2922661304473877,
+      "learning_rate": 9.727592877996585e-05,
+      "loss": 3.3309,
+      "step": 39
+    },
+    {
+      "epoch": 0.12461059190031153,
+      "grad_norm": 1.3348653316497803,
+      "learning_rate": 9.698463103929542e-05,
+      "loss": 3.2519,
+      "step": 40
+    },
+    {
+      "epoch": 0.1277258566978193,
+      "grad_norm": 1.9706021547317505,
+      "learning_rate": 9.667902132486009e-05,
+      "loss": 3.3289,
+      "step": 41
+    },
+    {
+      "epoch": 0.1308411214953271,
+      "grad_norm": 1.3454844951629639,
+      "learning_rate": 9.635919272833938e-05,
+      "loss": 3.1506,
+      "step": 42
+    },
+    {
+      "epoch": 0.13395638629283488,
+      "grad_norm": 1.439732551574707,
+      "learning_rate": 9.602524267262203e-05,
+      "loss": 2.9541,
+      "step": 43
+    },
+    {
+      "epoch": 0.13707165109034267,
+      "grad_norm": 1.5876061916351318,
+      "learning_rate": 9.567727288213005e-05,
+      "loss": 3.267,
+      "step": 44
+    },
+    {
+      "epoch": 0.14018691588785046,
+      "grad_norm": 4.498294830322266,
+      "learning_rate": 9.53153893518325e-05,
+      "loss": 3.3169,
+      "step": 45
+    },
+    {
+      "epoch": 0.14330218068535824,
+      "grad_norm": 2.1581695079803467,
+      "learning_rate": 9.493970231495835e-05,
+      "loss": 3.4368,
+      "step": 46
+    },
+    {
+      "epoch": 0.14641744548286603,
+      "grad_norm": 1.416223406791687,
+      "learning_rate": 9.45503262094184e-05,
+      "loss": 3.3067,
+      "step": 47
+    },
+    {
+      "epoch": 0.14953271028037382,
+      "grad_norm": 2.348942518234253,
+      "learning_rate": 9.414737964294636e-05,
+      "loss": 3.4444,
+      "step": 48
+    },
+    {
+      "epoch": 0.1526479750778816,
+      "grad_norm": 25.29743194580078,
+      "learning_rate": 9.373098535696979e-05,
+      "loss": 3.8843,
+      "step": 49
+    },
+    {
+      "epoch": 0.1557632398753894,
+      "grad_norm": 9.971040725708008,
+      "learning_rate": 9.330127018922194e-05,
+      "loss": 3.8826,
+      "step": 50
+    },
+    {
+      "epoch": 0.1557632398753894,
+      "eval_loss": 3.2780401706695557,
+      "eval_runtime": 28.5957,
+      "eval_samples_per_second": 18.919,
+      "eval_steps_per_second": 9.477,
+      "step": 50
+    }
+  ],
+  "logging_steps": 1,
+  "max_steps": 200,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 50,
+  "stateful_callbacks": {
+    "EarlyStoppingCallback": {
+      "args": {
+        "early_stopping_patience": 5,
+        "early_stopping_threshold": 0.0
+      },
+      "attributes": {
+        "early_stopping_patience_counter": 0
+      }
+    },
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.84541717577728e+16,
+  "train_batch_size": 8,
+  "trial_name": null,
+  "trial_params": null
+}

last-checkpoint/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d485068e1a58eb1e45be05be405b3a9192153aecd88dcba3b78d15c2e36b5f73
+size 6840