Model save

.gitattributes

@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 tokenizer.json filter=lfs diff=lfs merge=lfs -text
+trainer_log.jsonl filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,80 @@
+---
+library_name: peft
+license: llama3
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+tags:
+- llama-factory
+- generated_from_trainer
+model-index:
+- name: train_qqp_1756729596
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# train_qqp_1756729596
+
+This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2120
+- Num Input Tokens Seen: 216280368
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 2
+- eval_batch_size: 2
+- seed: 123
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10.0
+
+### Training results
+
+| Training Loss | Epoch  | Step    | Validation Loss | Input Tokens Seen |
+|:-------------:|:------:|:-------:|:---------------:|:-----------------:|
+| 0.1194        | 0.5000 | 81866   | 0.2017          | 11386496          |
+| 0.3966        | 1.0000 | 163732  | 0.1633          | 22764472          |
+| 0.0843        | 1.5000 | 245598  | 0.0992          | 34144408          |
+| 0.2298        | 2.0000 | 327464  | 0.2374          | 45529424          |
+| 0.3428        | 2.5000 | 409330  | 0.2306          | 56915424          |
+| 0.28          | 3.0000 | 491196  | 0.2266          | 68299488          |
+| 0.2561        | 3.5000 | 573062  | 0.2308          | 79670992          |
+| 0.1879        | 4.0000 | 654928  | 0.2167          | 91066456          |
+| 0.2034        | 4.5000 | 736794  | 0.2223          | 102449336         |
+| 0.2342        | 5.0000 | 818660  | 0.2082          | 113829176         |
+| 0.2252        | 5.5000 | 900526  | 0.2078          | 125219848         |
+| 0.1813        | 6.0000 | 982392  | 0.2041          | 136600616         |
+| 0.2893        | 6.5000 | 1064258 | 0.2011          | 147981640         |
+| 0.1523        | 7.0000 | 1146124 | 0.2053          | 159365688         |
+| 0.1371        | 7.5000 | 1227990 | 0.2020          | 170758584         |
+| 0.1622        | 8.0000 | 1309856 | 0.2011          | 182133096         |
+| 0.1149        | 8.5001 | 1391722 | 0.2092          | 193504584         |
+| 0.2538        | 9.0001 | 1473588 | 0.2079          | 204895744         |
+| 0.2284        | 9.5001 | 1555454 | 0.2120          | 216280368         |
+
+
+### Framework versions
+
+- PEFT 0.15.2
+- Transformers 4.51.3
+- Pytorch 2.8.0+cu128
+- Datasets 3.6.0
+- Tokenizers 0.21.1

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:58db3fa8b8973e42e39e92e63ff01ab80aa36b80f7692875b4f4ba53d9992bee
+oid sha256:fd2ce698050bf2e5550b85655454c652a9cd894699629981f2e1aabcecc80b24
 size 8388736