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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: bert-tiny-mlm-finetuned-emotion |
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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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# bert-tiny-mlm-finetuned-emotion |
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This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 3.5597 |
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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: 3e-05 |
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- train_batch_size: 128 |
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- eval_batch_size: 128 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: constant |
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- num_epochs: 200 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:------:|:----:|:---------------:| |
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| 4.1612 | 22.73 | 500 | 3.6903 | |
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| 3.9137 | 45.45 | 1000 | 3.6206 | |
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| 3.819 | 68.18 | 1500 | 3.5811 | |
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| 3.7498 | 90.91 | 2000 | 3.5975 | |
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| 3.6958 | 113.64 | 2500 | 3.5832 | |
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| 3.6354 | 136.36 | 3000 | 3.5528 | |
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| 3.5974 | 159.09 | 3500 | 3.4957 | |
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| 3.5552 | 181.82 | 4000 | 3.5597 | |
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### Framework versions |
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- Transformers 4.24.0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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