Model save

README.md

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+---
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: ytcheng/llama-3-8b-hf-sm-lora-merged
+datasets:
+- generator
+model-index:
+- name: llama-3-8b-hf-ft-chat-lora
+  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. -->
+
+# llama-3-8b-hf-ft-chat-lora
+
+This model is a fine-tuned version of [ytcheng/llama-3-8b-hf-sm-lora-merged](https://huggingface.co/ytcheng/llama-3-8b-hf-sm-lora-merged) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6177
+
+## 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: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_ratio: 0.03
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 2.3746        | 0.9873 | 39   | 2.3262          |
+| 1.9785        | 2.0    | 79   | 1.9557          |
+| 1.716         | 2.9873 | 118  | 1.7301          |
+| 1.5594        | 3.9494 | 156  | 1.6177          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.40.0
+- Pytorch 2.2.2+cu121
+- Datasets 2.18.0
+- Tokenizers 0.19.1