---
tags:
- generated_from_trainer
model-index:
- name: myBit-Llama2-jp-127M-3
  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-3

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: 3.8396

## 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: 0.00024
- 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: 5000
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 6.9048        | 0.05  | 2000  | 4.7602          |
| 4.4421        | 0.1   | 4000  | 4.2117          |
| 4.0625        | 0.15  | 6000  | 3.9227          |
| 3.807         | 0.2   | 8000  | 3.7181          |
| 3.6547        | 0.25  | 10000 | 3.5929          |
| 3.5296        | 0.29  | 12000 | 3.4812          |
| 3.4492        | 0.34  | 14000 | 3.4236          |
| 3.4065        | 0.39  | 16000 | 3.3923          |
| 3.3816        | 0.44  | 18000 | 3.3778          |
| 3.3815        | 0.49  | 20000 | 3.3907          |
| 3.431         | 0.54  | 22000 | 3.4870          |
| 3.5507        | 0.59  | 24000 | 3.5969          |
| 3.6557        | 0.64  | 26000 | 3.6918          |
| 3.715         | 0.69  | 28000 | 3.7377          |
| 3.7646        | 0.74  | 30000 | 3.7620          |
| 3.8005        | 0.79  | 32000 | 3.8221          |
| 3.8288        | 0.83  | 34000 | 3.8550          |
| 3.8552        | 0.88  | 36000 | 3.8449          |
| 3.8591        | 0.93  | 38000 | 3.8483          |
| 3.8452        | 0.98  | 40000 | 3.8396          |


### Framework versions

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