Model save

README.md

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+---
+library_name: peft
+license: llama3
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+tags:
+- llama-factory
+- generated_from_trainer
+model-index:
+- name: train_copa_1753094179
+  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_copa_1753094179
+
+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: 0.1471
+- Num Input Tokens Seen: 281856
+
+## 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: 4
+- eval_batch_size: 4
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
+| 0.1596        | 0.5   | 45   | 0.1958          | 14016             |
+| 0.2404        | 1.0   | 90   | 0.1377          | 28096             |
+| 0.1623        | 1.5   | 135  | 0.1277          | 42144             |
+| 0.1           | 2.0   | 180  | 0.1283          | 56128             |
+| 0.0681        | 2.5   | 225  | 0.1267          | 70272             |
+| 0.0289        | 3.0   | 270  | 0.1246          | 84352             |
+| 0.0638        | 3.5   | 315  | 0.1314          | 98464             |
+| 0.0061        | 4.0   | 360  | 0.1305          | 112576            |
+| 0.1354        | 4.5   | 405  | 0.1356          | 126624            |
+| 0.0018        | 5.0   | 450  | 0.1401          | 140832            |
+| 0.0111        | 5.5   | 495  | 0.1353          | 154976            |
+| 0.0039        | 6.0   | 540  | 0.1413          | 169056            |
+| 0.1049        | 6.5   | 585  | 0.1374          | 183200            |
+| 0.0106        | 7.0   | 630  | 0.1402          | 197344            |
+| 0.018         | 7.5   | 675  | 0.1404          | 211392            |
+| 0.0021        | 8.0   | 720  | 0.1440          | 225536            |
+| 0.0019        | 8.5   | 765  | 0.1409          | 239680            |
+| 0.0019        | 9.0   | 810  | 0.1421          | 253696            |
+| 0.0005        | 9.5   | 855  | 0.1449          | 267840            |
+| 0.0235        | 10.0  | 900  | 0.1471          | 281856            |
+
+
+### Framework versions
+
+- PEFT 0.15.2
+- Transformers 4.51.3
+- Pytorch 2.7.1+cu126
+- Datasets 3.6.0
+- Tokenizers 0.21.1

adapter_model.safetensors

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