---
tags:
- generated_from_trainer
model-index:
- name: myBit-Llama2-jp-127M-test-23
  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-23

This model is a fine-tuned version of [](https://huggingface.co./) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 3.7610
- eval_runtime: 323.9734
- eval_samples_per_second: 660.693
- eval_steps_per_second: 6.883
- epoch: 0.29
- step: 12000

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 4.8240        | 0.05  | 2000  | 4.082750        |
| 3.8518        | 0.1   | 4000  | 3.693951        |
| 3.6357        | 0.15  | 6000  | 3.606057        |
| 3.6164        | 0.2   | 8000  | 3.641231        |
| 3.6208        | 0.25  | 10000 | 3.646924        |
| 3.6360        | 0.29  | 12000 | 3.760965        |

### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- mybitnet 0.5.1