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mt5-base-medium-poem-generation
vikenkd/mt5-base-medium-poem-generation
mt5-base-medium-poem-generation is a machine learning model from vikenkd. 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. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024
- SHA
- 39ab2405
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. -->
mt5-base-medium-poem-generation
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7472
- Rouge1: 25.4822
- Rouge2: 3.7615
- Rougel: 19.5281
- Rougelsum: 19.5176
- Gen Len: 19.0
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: 4e-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
- lr_scheduler_warmup_steps: 100
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 4.4593 | 0.1143 | 1000 | 2.7944 | 26.8618 | 4.2231 | 20.0761 | 20.0655 | 19.0 |
| 3.1207 | 0.2286 | 2000 | 2.7472 | 25.4822 | 3.7615 | 19.5281 | 19.5176 | 19.0 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Oct 22, 2024
- Updated
- Oct 22, 2024