---
tags:
- generated_from_trainer
model-index:
- name: BitLlama2-jp-127M-optim-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. -->

# BitLlama2-jp-127M-optim-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: 3.3126

## 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: 500
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 6.8077        | 0.07  | 200  | 4.8407          |
| 4.5572        | 0.15  | 400  | 4.3299          |
| 4.2394        | 0.22  | 600  | 4.1002          |
| 4.0211        | 0.29  | 800  | 3.9227          |
| 3.8617        | 0.37  | 1000 | 3.8109          |
| 3.7662        | 0.44  | 1200 | 3.7284          |
| 3.6699        | 0.51  | 1400 | 3.6362          |
| 3.5966        | 0.58  | 1600 | 3.5681          |
| 3.5261        | 0.66  | 1800 | 3.5094          |
| 3.4696        | 0.73  | 2000 | 3.4567          |
| 3.4162        | 0.8   | 2200 | 3.4072          |
| 3.3665        | 0.88  | 2400 | 3.3600          |
| 3.3162        | 0.95  | 2600 | 3.3126          |


### Framework versions

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