transformers safetensors llama text-generation generated_from_trainer base_model:NousResearch/Llama-2-7b-hf autotrain_compatible endpoints_compatible text-generation-inference 8-bit bitsandbytes region:us
---
base_model: NousResearch/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: llama-out-2
  results: []
---

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# llama-out-2

This model is a fine-tuned version of [NousResearch/Llama-2-7b-hf](https://huggingface.co/NousResearch/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1382

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- 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: 50
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.4101        | 0.03  | 1    | 1.3924          |
| 1.3305        | 0.11  | 4    | 1.3936          |
| 1.3198        | 0.21  | 8    | 1.3933          |
| 1.3386        | 0.32  | 12   | 1.3913          |
| 1.3627        | 0.43  | 16   | 1.3902          |
| 1.332         | 0.54  | 20   | 1.3861          |
| 1.3842        | 0.64  | 24   | 1.3807          |
| 1.3476        | 0.75  | 28   | 1.3669          |
| 1.3411        | 0.86  | 32   | 1.3469          |
| 1.3115        | 0.97  | 36   | 1.3111          |
| 1.2896        | 1.05  | 40   | 1.2653          |
| 1.1435        | 1.15  | 44   | 1.2163          |
| 1.2406        | 1.26  | 48   | 1.1849          |
| 1.1746        | 1.37  | 52   | 1.1684          |
| 1.0488        | 1.48  | 56   | 1.1559          |
| 1.1665        | 1.58  | 60   | 1.1470          |
| 1.1238        | 1.69  | 64   | 1.1412          |
| 1.1893        | 1.8   | 68   | 1.1389          |
| 1.112         | 1.91  | 72   | 1.1382          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1
- Datasets 2.15.0
- Tokenizers 0.15.0
