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am_hi_model
pk2743/am_hi_model
am_hi_model is a machine learning model from pk2743. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Oct 31, 2023
- Updated
- Nov 7, 2023
- SHA
- 670b52f3
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
am_hi_model
This model is a fine-tuned version of Piyush41/Sanskrit-Hindi on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.3728
- Sacrebleu: 0.1368
- Bleu: 0.0014
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Ter: 97.8434
- Gen Len: 20.0
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Sacrebleu | Bleu | Rouge1 | Rouge2 | Rougel | Ter | Gen Len |
|---|---|---|---|---|---|---|---|---|---|---|
| 7.9097 | 1.0 | 509 | 6.8376 | 0.001 | 0.0 | 0.0 | 0.0 | 0.0 | 99.2079 | 20.0 |
| 6.6631 | 2.0 | 1018 | 6.2731 | 0.012 | 0.0001 | 0.0 | 0.0 | 0.0 | 98.8741 | 20.0 |
| 6.2666 | 3.0 | 1527 | 5.9668 | 0.0782 | 0.0008 | 0.0 | 0.0 | 0.0 | 98.3207 | 20.0 |
| 6.0185 | 4.0 | 2036 | 5.7664 | 0.0793 | 0.0008 | 0.0 | 0.0 | 0.0 | 98.3292 | 20.0 |
| 5.8656 | 5.0 | 2545 | 5.6281 | 0.112 | 0.0011 | 0.0 | 0.0 | 0.0 | 98.0673 | 20.0 |
| 5.7354 | 6.0 | 3054 | 5.5269 | 0.1582 | 0.0016 | 0.0 | 0.0 | 0.0 | 97.8476 | 20.0 |
| 5.6509 | 7.0 | 3563 | 5.4556 | 0.1561 | 0.0016 | 0.0 | 0.0 | 0.0 | 97.949 | 20.0 |
| 5.5912 | 8.0 | 4072 | 5.4093 | 0.1368 | 0.0014 | 0.0 | 0.0 | 0.0 | 97.9405 | 20.0 |
| 5.5534 | 9.0 | 4581 | 5.3812 | 0.1329 | 0.0013 | 0.0 | 0.0 | 0.0 | 97.856 | 20.0 |
| 5.5356 | 10.0 | 5090 | 5.3728 | 0.1368 | 0.0014 | 0.0 | 0.0 | 0.0 | 97.8434 | 20.0 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
- Library
- transformers
- Type
- mbart
- Created
- Oct 31, 2023
- Updated
- Nov 7, 2023