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tags:
- generated_from_trainer
model-index:
- name: RADME_fine_f3
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. -->
# RADME_fine_f3
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3192
## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 3
- num_epochs: 15
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3469 | 0.95 | 5000 | 0.3094 |
| 0.3102 | 1.91 | 10000 | 0.2894 |
| 0.2806 | 2.86 | 15000 | 0.2793 |
| 0.2604 | 3.81 | 20000 | 0.2748 |
| 0.2414 | 4.77 | 25000 | 0.2756 |
| 0.228 | 5.72 | 30000 | 0.2784 |
| 0.2139 | 6.67 | 35000 | 0.2815 |
| 0.2016 | 7.63 | 40000 | 0.2848 |
| 0.1924 | 8.58 | 45000 | 0.2917 |
| 0.1802 | 9.53 | 50000 | 0.2954 |
| 0.172 | 10.49 | 55000 | 0.3022 |
| 0.1646 | 11.44 | 60000 | 0.3085 |
| 0.1586 | 12.4 | 65000 | 0.3114 |
| 0.1553 | 13.35 | 70000 | 0.3154 |
| 0.1509 | 14.3 | 75000 | 0.3192 |
### Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3
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