---
tags:
- generated_from_trainer
model-index:
- name: myBit-Llama2-jp-127M-test-18
  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-18

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: 3.8286

## 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: 500
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 8.9871        | 0.07  | 200  | 7.5435          |
| 6.2033        | 0.15  | 400  | 5.2273          |
| 4.7747        | 0.22  | 600  | 4.5503          |
| 4.3996        | 0.3   | 800  | 4.3403          |
| 4.2393        | 0.37  | 1000 | 4.2145          |
| 4.1416        | 0.45  | 1200 | 4.1301          |
| 4.0555        | 0.52  | 1400 | 4.0648          |
| 3.9921        | 0.6   | 1600 | 4.0114          |
| 3.9456        | 0.67  | 1800 | 3.9596          |
| 3.8916        | 0.75  | 2000 | 3.9247          |
| 3.8529        | 0.82  | 2200 | 3.8887          |
| 3.8241        | 0.9   | 2400 | 3.8575          |
| 3.7951        | 0.97  | 2600 | 3.8286          |


### Framework versions

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