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mt5-base-lit-simplif
eglkan1/mt5-base-lit-simplif
mt5-base-lit-simplif is a machine learning model from eglkan1. 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
- Dec 7, 2023
- Updated
- Dec 13, 2023
- SHA
- 2e15bce1
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-lit-simplif
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: 1.1660
- Rouge1: 45.9067
- Rouge2: 33.3486
- Rougel: 43.6217
- Rougelsum: 43.7128
- Gen Len: 17.3389
- Bleu: 11.5761
- Corpus Bleu: 8.3337
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: 5e-05
- 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 | Bleu | Corpus Bleu |
|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 209 | 1.7570 | 22.6673 | 14.3228 | 21.6876 | 21.634 | 11.9379 | 4.355 | 5.0525 |
| No log | 2.0 | 418 | 1.3636 | 40.2937 | 28.0627 | 38.6255 | 38.8148 | 16.9737 | 10.3859 | 8.7596 |
| 4.4247 | 3.0 | 627 | 1.2516 | 40.7671 | 28.2819 | 38.4458 | 38.598 | 18.0692 | 8.7679 | 8.1542 |
| 4.4247 | 4.0 | 836 | 1.1865 | 45.1478 | 32.7329 | 42.788 | 42.9494 | 17.4988 | 11.2435 | 8.2933 |
| 1.7397 | 5.0 | 1045 | 1.1660 | 45.9067 | 33.3486 | 43.6217 | 43.7128 | 17.3389 | 11.5761 | 8.3337 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.1.1
- Datasets 2.14.4
- Tokenizers 0.13.3
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Dec 7, 2023
- Updated
- Dec 13, 2023