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_1757340277
+  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_1757340277
+
+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: 0.2092
+- Num Input Tokens Seen: 281312
+
+## 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: 101112
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
+| 0.081         | 0.5   | 45   | 0.1215          | 14144             |
+| 0.3339        | 1.0   | 90   | 0.1037          | 28192             |
+| 0.0463        | 1.5   | 135  | 0.0964          | 42208             |
+| 0.082         | 2.0   | 180  | 0.0777          | 56256             |
+| 0.2678        | 2.5   | 225  | 0.0822          | 70368             |
+| 0.0878        | 3.0   | 270  | 0.0920          | 84320             |
+| 0.1495        | 3.5   | 315  | 0.1532          | 98400             |
+| 0.0075        | 4.0   | 360  | 0.0768          | 112416            |
+| 0.429         | 4.5   | 405  | 0.1562          | 126496            |
+| 0.0002        | 5.0   | 450  | 0.1207          | 140544            |
+| 0.0092        | 5.5   | 495  | 0.1345          | 154592            |
+| 0.002         | 6.0   | 540  | 0.1524          | 168768            |
+| 0.0064        | 6.5   | 585  | 0.1678          | 182848            |
+| 0.0449        | 7.0   | 630  | 0.1447          | 196896            |
+| 0.1323        | 7.5   | 675  | 0.1635          | 210912            |
+| 0.0001        | 8.0   | 720  | 0.2237          | 225024            |
+| 0.0211        | 8.5   | 765  | 0.2088          | 239200            |
+| 0.0121        | 9.0   | 810  | 0.2073          | 253152            |
+| 0.0034        | 9.5   | 855  | 0.2088          | 267040            |
+| 0.1445        | 10.0  | 900  | 0.2092          | 281312            |
+
+
+### 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

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