---
tags:
- generated_from_trainer
model-index:
- name: myBit-Llama2-jp-127M-6
  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-6

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: 3.5300

## 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=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5000
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.6845        | 0.05  | 2000  | 3.7571          |
| 3.6263        | 0.1   | 4000  | 3.5463          |
| 3.5645        | 0.15  | 6000  | 3.4975          |
| 3.5418        | 0.2   | 8000  | 3.5903          |
| 3.5333        | 0.25  | 10000 | 3.4952          |
| 3.5572        | 0.29  | 12000 | 3.4898          |
| 3.4671        | 0.34  | 14000 | 3.4466          |
| 3.414         | 0.39  | 16000 | 3.4579          |
| 3.4583        | 0.44  | 18000 | 3.4420          |
| 3.4988        | 0.49  | 20000 | 3.5380          |
| 3.5448        | 0.54  | 22000 | 3.4931          |
| 3.4932        | 0.59  | 24000 | 3.4592          |
| 3.5387        | 0.64  | 26000 | 3.5774          |
| 3.6424        | 0.69  | 28000 | 4.0166          |
| 3.8589        | 0.74  | 30000 | 3.7899          |
| 3.7753        | 0.79  | 32000 | 3.7973          |
| 3.7703        | 0.83  | 34000 | 3.7630          |
| 3.7135        | 0.88  | 36000 | 3.6725          |
| 3.6472        | 0.93  | 38000 | 3.5994          |
| 3.5686        | 0.98  | 40000 | 3.5300          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2