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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilroberta-tcfd-disclosure-5
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. -->
# distilroberta-tcfd-disclosure-5
This model is a fine-tuned version of [distilroberta-base](https://huggingface.co./distilroberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5761
## 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: 24
- eval_batch_size: 24
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 96
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6682 | 1.0 | 363 | 0.6726 |
| 0.6242 | 2.0 | 727 | 0.5921 |
| 0.4459 | 3.0 | 1090 | 0.5238 |
| 0.3456 | 4.0 | 1454 | 0.5268 |
| 0.2991 | 5.0 | 1817 | 0.5761 |
### Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
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