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_500STEPS_1e7rate_SFT
  results: []
---

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# chat_500STEPS_1e7rate_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: 1.4297

## 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-07
- 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: 500

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.6169        | 0.1   | 50   | 1.6126          |
| 1.5653        | 0.2   | 100  | 1.5784          |
| 1.524         | 0.29  | 150  | 1.5257          |
| 1.4813        | 0.39  | 200  | 1.4845          |
| 1.4608        | 0.49  | 250  | 1.4560          |
| 1.4351        | 0.59  | 300  | 1.4397          |
| 1.4317        | 0.68  | 350  | 1.4319          |
| 1.4269        | 0.78  | 400  | 1.4300          |
| 1.4167        | 0.88  | 450  | 1.4297          |
| 1.4284        | 0.98  | 500  | 1.4297          |


### Framework versions

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