Commit
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282e80b
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Parent(s):
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End of training
Browse files- README.md +71 -0
- generation_config.json +6 -0
README.md
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---
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license: apache-2.0
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base_model: google/mt5-small
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: mt5-small-task2-dataset3
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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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# mt5-small-task2-dataset3
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This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3659
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- Accuracy: 0.632
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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: 5.6e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: linear
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- num_epochs: 12
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 7.624 | 1.0 | 250 | 1.4193 | 0.314 |
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| 2.0235 | 2.0 | 500 | 0.9796 | 0.408 |
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| 1.284 | 3.0 | 750 | 0.7148 | 0.48 |
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| 0.9385 | 4.0 | 1000 | 0.5765 | 0.512 |
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| 0.7315 | 5.0 | 1250 | 0.4948 | 0.55 |
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| 0.642 | 6.0 | 1500 | 0.4369 | 0.59 |
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| 0.5668 | 7.0 | 1750 | 0.4125 | 0.606 |
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| 0.5187 | 8.0 | 2000 | 0.4030 | 0.614 |
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| 0.4809 | 9.0 | 2250 | 0.3812 | 0.626 |
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| 0.4563 | 10.0 | 2500 | 0.3722 | 0.63 |
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| 0.4434 | 11.0 | 2750 | 0.3683 | 0.628 |
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| 0.4469 | 12.0 | 3000 | 0.3659 | 0.632 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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generation_config.json
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{
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.35.2"
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}
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