transformers safetensors llama text-generation trl sft generated_from_trainer conversational base_model:meta-llama/Llama-2-7b-chat-hf autotrain_compatible endpoints_compatible text-generation-inference region:us
---
base_model: meta-llama/Llama-2-7b-chat-hf
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: chat_400STEPS_1e6rate_SFT
  results: []
---

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# chat_400STEPS_1e6rate_SFT

This model is a fine-tuned version of [meta-llama/Llama-2-7b-chat-hf](https://huggingface.co/meta-llama/Llama-2-7b-chat-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3202

## 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: 1e-06
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 400

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.351         | 0.1   | 50   | 1.2639          |
| 0.3961        | 0.2   | 100  | 0.3739          |
| 0.3545        | 0.29  | 150  | 0.3403          |
| 0.332         | 0.39  | 200  | 0.3267          |
| 0.332         | 0.49  | 250  | 0.3218          |
| 0.3278        | 0.59  | 300  | 0.3205          |
| 0.3196        | 0.68  | 350  | 0.3202          |
| 0.3146        | 0.78  | 400  | 0.3202          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.0+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2
