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 +1,81 @@
+---
+library_name: peft
+license: llama3
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+tags:
+- llama-factory
+- generated_from_trainer
+model-index:
+- name: train_record_1756914931
+  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_record_1756914931
+
+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: 0.4367
+- Num Input Tokens Seen: 437687728
+
+## 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 |
+|:-------------:|:-----:|:------:|:---------------:|:-----------------:|
+| 0.2393        | 0.5   | 31242  | 0.3863          | 21882176          |
+| 0.2851        | 1.0   | 62484  | 0.3722          | 43764848          |
+| 0.3349        | 1.5   | 93726  | 0.3156          | 65654448          |
+| 0.3611        | 2.0   | 124968 | 0.3249          | 87540080          |
+| 0.2412        | 2.5   | 156210 | 0.3086          | 109399264         |
+| 0.2926        | 3.0   | 187452 | 0.3157          | 131310112         |
+| 0.2121        | 3.5   | 218694 | 0.3256          | 153180192         |
+| 0.1926        | 4.0   | 249936 | 0.3087          | 175076672         |
+| 0.1418        | 4.5   | 281178 | 0.3052          | 196954256         |
+| 0.1742        | 5.0   | 312420 | 0.3157          | 218847792         |
+| 0.1728        | 5.5   | 343662 | 0.3363          | 240725504         |
+| 0.2249        | 6.0   | 374904 | 0.3064          | 262607120         |
+| 0.2989        | 6.5   | 406146 | 0.3348          | 284498880         |
+| 0.1548        | 7.0   | 437388 | 0.3352          | 306371872         |
+| 0.1321        | 7.5   | 468630 | 0.3689          | 328260832         |
+| 0.1422        | 8.0   | 499872 | 0.3563          | 350148752         |
+| 0.1586        | 8.5   | 531114 | 0.4022          | 372040912         |
+| 0.1379        | 9.0   | 562356 | 0.3845          | 393915104         |
+| 0.1341        | 9.5   | 593598 | 0.4348          | 415811824         |
+| 0.1225        | 10.0  | 624840 | 0.4367          | 437687728         |
+
+
+### 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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