Model save

README.md

@@ -0,0 +1,81 @@
+---
+library_name: peft
+license: llama3
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+tags:
+- llama-factory
+- generated_from_trainer
+model-index:
+- name: train_cola_1752763927
+  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_cola_1752763927
+
+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: 0.2617
+- Num Input Tokens Seen: 3865624
+
+## 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: 8
+- eval_batch_size: 8
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-----------------:|
+| 7.4373        | 0.5   | 481  | 7.5052          | 194688            |
+| 0.7072        | 1.0   | 962  | 0.7585          | 386904            |
+| 0.3897        | 1.5   | 1443 | 0.3602          | 580120            |
+| 0.3012        | 2.0   | 1924 | 0.3055          | 773864            |
+| 0.3103        | 2.5   | 2405 | 0.2883          | 967976            |
+| 0.2726        | 3.0   | 2886 | 0.2818          | 1160888           |
+| 0.2773        | 3.5   | 3367 | 0.2715          | 1353912           |
+| 0.2896        | 4.0   | 3848 | 0.2687          | 1548544           |
+| 0.2146        | 4.5   | 4329 | 0.2640          | 1741248           |
+| 0.2677        | 5.0   | 4810 | 0.2682          | 1934608           |
+| 0.2588        | 5.5   | 5291 | 0.2631          | 2127376           |
+| 0.2811        | 6.0   | 5772 | 0.2645          | 2320672           |
+| 0.2592        | 6.5   | 6253 | 0.2663          | 2514528           |
+| 0.29          | 7.0   | 6734 | 0.2631          | 2707248           |
+| 0.2671        | 7.5   | 7215 | 0.2617          | 2900784           |
+| 0.2536        | 8.0   | 7696 | 0.2627          | 3093824           |
+| 0.2995        | 8.5   | 8177 | 0.2606          | 3285824           |
+| 0.2462        | 9.0   | 8658 | 0.2606          | 3479432           |
+| 0.2886        | 9.5   | 9139 | 0.2608          | 3672712           |
+| 0.2682        | 10.0  | 9620 | 0.2617          | 3865624           |
+
+
+### 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

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:59203ed53da7cc16025a9e47f612df9766f2748e6982207f3751f4228b073054
+oid sha256:986d4dcd7e09b69f788cf62d79a61290d34e49ccd72ad9b0e00abd678e0e3573
 size 1638528