safetensors generated_from_trainer base_model:meta-llama/Llama-2-7b-hf region:us
---
base_model: meta-llama/Llama-2-7b-hf
tags:
- generated_from_trainer
model-index:
- name: fine-tune-radia-v3
  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. -->

# fine-tune-radia-v3

This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4142

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.3
- num_epochs: 6

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1521        | 0.09  | 5    | 1.1761          |
| 1.1482        | 0.17  | 10   | 1.1711          |
| 1.2242        | 0.26  | 15   | 1.1610          |
| 1.1821        | 0.34  | 20   | 1.1427          |
| 1.1905        | 0.43  | 25   | 1.1125          |
| 1.108         | 0.52  | 30   | 1.0602          |
| 1.0857        | 0.6   | 35   | 0.9833          |
| 0.9924        | 0.69  | 40   | 0.8858          |
| 0.8337        | 0.78  | 45   | 0.8109          |
| 0.8399        | 0.86  | 50   | 0.7848          |
| 0.7903        | 0.95  | 55   | 0.7641          |
| 0.8023        | 1.03  | 60   | 0.7455          |
| 0.7848        | 1.12  | 65   | 0.7305          |
| 0.7655        | 1.21  | 70   | 0.7155          |
| 0.7169        | 1.29  | 75   | 0.6981          |
| 0.7095        | 1.38  | 80   | 0.6774          |
| 0.6762        | 1.47  | 85   | 0.6524          |
| 0.7198        | 1.55  | 90   | 0.6331          |
| 0.6491        | 1.64  | 95   | 0.6082          |
| 0.6619        | 1.72  | 100  | 0.5881          |
| 0.645         | 1.81  | 105  | 0.5722          |
| 0.5815        | 1.9   | 110  | 0.5592          |
| 0.5906        | 1.98  | 115  | 0.5439          |
| 0.6282        | 2.07  | 120  | 0.5348          |
| 0.5758        | 2.16  | 125  | 0.5222          |
| 0.5252        | 2.24  | 130  | 0.5097          |
| 0.5269        | 2.33  | 135  | 0.5015          |
| 0.4826        | 2.41  | 140  | 0.4897          |
| 0.5443        | 2.5   | 145  | 0.4823          |
| 0.4485        | 2.59  | 150  | 0.4757          |
| 0.4363        | 2.67  | 155  | 0.4718          |
| 0.4674        | 2.76  | 160  | 0.4649          |
| 0.5294        | 2.84  | 165  | 0.4581          |
| 0.4529        | 2.93  | 170  | 0.4536          |
| 0.4642        | 3.02  | 175  | 0.4488          |
| 0.4224        | 3.1   | 180  | 0.4464          |
| 0.3956        | 3.19  | 185  | 0.4477          |
| 0.4081        | 3.28  | 190  | 0.4424          |
| 0.4678        | 3.36  | 195  | 0.4414          |
| 0.4652        | 3.45  | 200  | 0.4375          |
| 0.4233        | 3.53  | 205  | 0.4360          |
| 0.3717        | 3.62  | 210  | 0.4320          |
| 0.4267        | 3.71  | 215  | 0.4262          |
| 0.3676        | 3.79  | 220  | 0.4263          |
| 0.411         | 3.88  | 225  | 0.4206          |
| 0.4197        | 3.97  | 230  | 0.4215          |
| 0.373         | 4.05  | 235  | 0.4239          |
| 0.3347        | 4.14  | 240  | 0.4224          |
| 0.3834        | 4.22  | 245  | 0.4192          |
| 0.3055        | 4.31  | 250  | 0.4219          |
| 0.359         | 4.4   | 255  | 0.4182          |
| 0.3374        | 4.48  | 260  | 0.4219          |
| 0.3173        | 4.57  | 265  | 0.4207          |
| 0.3619        | 4.66  | 270  | 0.4153          |
| 0.3975        | 4.74  | 275  | 0.4141          |
| 0.4167        | 4.83  | 280  | 0.4135          |
| 0.42          | 4.91  | 285  | 0.4111          |
| 0.3459        | 5.0   | 290  | 0.4137          |
| 0.2955        | 5.09  | 295  | 0.4173          |
| 0.3668        | 5.17  | 300  | 0.4185          |
| 0.324         | 5.26  | 305  | 0.4152          |
| 0.3058        | 5.34  | 310  | 0.4162          |
| 0.3568        | 5.43  | 315  | 0.4155          |
| 0.3144        | 5.52  | 320  | 0.4151          |
| 0.2713        | 5.6   | 325  | 0.4153          |
| 0.3373        | 5.69  | 330  | 0.4143          |
| 0.3762        | 5.78  | 335  | 0.4140          |
| 0.3217        | 5.86  | 340  | 0.4140          |
| 0.3507        | 5.95  | 345  | 0.4142          |


### Framework versions

- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0
