---
tags:
- generated_from_trainer
model-index:
- name: myBit-Llama2-jp-127M-test-19
  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. -->

# myBit-Llama2-jp-127M-test-19

This model is a fine-tuned version of [](https://huggingface.co./) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5869

## 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: 0.0024
- train_batch_size: 96
- eval_batch_size: 96
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_steps: 500
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.9142        | 0.07  | 200  | 5.0048          |
| 4.6131        | 0.15  | 400  | 4.5303          |
| 4.3182        | 0.22  | 600  | 4.3233          |
| 4.1397        | 0.29  | 800  | 4.1953          |
| 4.0202        | 0.37  | 1000 | 4.1018          |
| 3.9419        | 0.44  | 1200 | 4.0273          |
| 3.8671        | 0.51  | 1400 | 3.9556          |
| 3.7944        | 0.59  | 1600 | 3.8980          |
| 3.7371        | 0.66  | 1800 | 3.8217          |
| 3.6588        | 0.73  | 2000 | 3.7553          |
| 3.5954        | 0.81  | 2200 | 3.6957          |
| 3.5405        | 0.88  | 2400 | 3.6415          |
| 3.4793        | 0.95  | 2600 | 3.5869          |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2