Model save
Browse files- README.md +73 -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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- wer
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model-index:
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- name: Finetuned-mT5-Bangla2IPA
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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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# Finetuned-mT5-Bangla2IPA
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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: 0.0529
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- Wer: 0.0530
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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: 0.0003
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- train_batch_size: 4
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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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- lr_scheduler_warmup_steps: 1000
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|
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| 4.407 | 0.75 | 2000 | 1.4085 | 0.9726 |
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| 0.9875 | 1.5 | 4000 | 0.2242 | 0.2198 |
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| 0.3856 | 2.25 | 6000 | 0.1268 | 0.1266 |
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| 0.2443 | 2.99 | 8000 | 0.0929 | 0.0958 |
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| 0.1753 | 3.74 | 10000 | 0.0798 | 0.0827 |
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| 0.1431 | 4.49 | 12000 | 0.0701 | 0.0731 |
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| 0.121 | 5.24 | 14000 | 0.0649 | 0.0665 |
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| 0.1046 | 5.99 | 16000 | 0.0614 | 0.0625 |
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| 0.0914 | 6.74 | 18000 | 0.0585 | 0.0588 |
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| 0.0821 | 7.49 | 20000 | 0.0556 | 0.0564 |
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| 0.0747 | 8.23 | 22000 | 0.0554 | 0.0548 |
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| 0.0707 | 8.98 | 24000 | 0.0535 | 0.0540 |
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| 0.0646 | 9.73 | 26000 | 0.0529 | 0.0530 |
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### Framework versions
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- Transformers 4.33.0
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.13.3
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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": "4.33.0"
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}
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