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---
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
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