---
tags:
- generated_from_trainer
model-index:
- name: '130000'
  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. -->

# 130000

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: 6.0491

## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 0.92  | 3    | 6.2222          |
| No log        | 1.85  | 6    | 6.2146          |
| No log        | 2.77  | 9    | 6.2032          |
| 5.9665        | 4.0   | 13   | 6.1877          |
| 5.9665        | 4.92  | 16   | 6.1734          |
| 5.9665        | 5.85  | 19   | 6.1620          |
| 5.8921        | 6.77  | 22   | 6.1539          |
| 5.8921        | 8.0   | 26   | 6.1426          |
| 5.8921        | 8.92  | 29   | 6.1335          |
| 5.8324        | 9.85  | 32   | 6.1277          |
| 5.8324        | 10.77 | 35   | 6.1178          |
| 5.8324        | 12.0  | 39   | 6.1105          |
| 5.8012        | 12.92 | 42   | 6.1059          |
| 5.8012        | 13.85 | 45   | 6.0992          |
| 5.8012        | 14.77 | 48   | 6.0959          |
| 5.7449        | 16.0  | 52   | 6.0910          |
| 5.7449        | 16.92 | 55   | 6.0859          |
| 5.7449        | 17.85 | 58   | 6.0819          |
| 5.7303        | 18.77 | 61   | 6.0767          |
| 5.7303        | 20.0  | 65   | 6.0734          |
| 5.7303        | 20.92 | 68   | 6.0721          |
| 5.6687        | 21.85 | 71   | 6.0694          |
| 5.6687        | 22.77 | 74   | 6.0658          |
| 5.6687        | 24.0  | 78   | 6.0628          |
| 5.6839        | 24.92 | 81   | 6.0627          |
| 5.6839        | 25.85 | 84   | 6.0600          |
| 5.6839        | 26.77 | 87   | 6.0586          |
| 5.6499        | 28.0  | 91   | 6.0572          |
| 5.6499        | 28.92 | 94   | 6.0558          |
| 5.6499        | 29.85 | 97   | 6.0555          |
| 5.6703        | 30.77 | 100  | 6.0545          |
| 5.6703        | 32.0  | 104  | 6.0533          |
| 5.6703        | 32.92 | 107  | 6.0520          |
| 5.6404        | 33.85 | 110  | 6.0518          |
| 5.6404        | 34.77 | 113  | 6.0511          |
| 5.6404        | 36.0  | 117  | 6.0509          |
| 5.6414        | 36.92 | 120  | 6.0504          |
| 5.6414        | 37.85 | 123  | 6.0498          |
| 5.6414        | 38.77 | 126  | 6.0498          |
| 5.6347        | 40.0  | 130  | 6.0496          |
| 5.6347        | 40.92 | 133  | 6.0493          |
| 5.6347        | 41.85 | 136  | 6.0491          |
| 5.6347        | 42.77 | 139  | 6.0491          |
| 5.638         | 44.0  | 143  | 6.0491          |
| 5.638         | 44.92 | 146  | 6.0491          |
| 5.638         | 45.85 | 149  | 6.0491          |
| 5.6249        | 46.15 | 150  | 6.0491          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2