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mt5-base-headline_WithIp_Aspect_Only
mdosama39/mt5-base-headline_WithIp_Aspect_Only
mt5-base-headline_WithIp_Aspect_Only is a machine learning model from mdosama39. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Aug 12, 2024
- Updated
- Aug 12, 2024
- SHA
- 7c6713e8
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-headline_WithIp_Aspect_Only
This model is a fine-tuned version of google/mt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6737
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- Gen Len: 16.3995
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.5494 | 1.0 | 202 | 2.7174 | 0.0 | 0.0 | 0.0 | 0.0 | 2.9007 |
| 0.8571 | 2.0 | 404 | 0.7817 | 0.0 | 0.0 | 0.0 | 0.0 | 14.8213 |
| 0.7374 | 3.0 | 606 | 0.6919 | 0.0 | 0.0 | 0.0 | 0.0 | 16.0223 |
| 0.6602 | 4.0 | 808 | 0.6737 | 0.0 | 0.0 | 0.0 | 0.0 | 16.3995 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- mt5
- License
- apache-2.0
- Created
- Aug 12, 2024
- Updated
- Aug 12, 2024