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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: distilroberta-tcfd-disclosure
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# distilroberta-tcfd-disclosure
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.7356
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 5
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- total_train_batch_size: 80
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 50
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- num_epochs: 20
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 5 | 2.3987 |
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| 2.4026 | 2.0 | 10 | 2.3915 |
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| 2.4026 | 3.0 | 15 | 2.3802 |
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| 2.379 | 4.0 | 20 | 2.3660 |
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| 2.379 | 5.0 | 25 | 2.3306 |
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| 2.3117 | 6.0 | 30 | 2.2219 |
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| 2.3117 | 7.0 | 35 | 2.0485 |
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| 1.9883 | 8.0 | 40 | 1.9095 |
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| 1.9883 | 9.0 | 45 | 1.8112 |
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| 1.5971 | 10.0 | 50 | 1.7251 |
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| 1.5971 | 11.0 | 55 | 1.6428 |
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| 1.1741 | 12.0 | 60 | 1.6219 |
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| 1.1741 | 13.0 | 65 | 1.6011 |
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| 0.8494 | 14.0 | 70 | 1.6859 |
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| 0.8494 | 15.0 | 75 | 1.6946 |
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| 0.6111 | 16.0 | 80 | 1.7356 |
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### Framework versions
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- Transformers 4.28.1
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- Pytorch 2.0.0+cu118
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- Datasets 2.11.0
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- Tokenizers 0.13.3
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