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wiki_asp-soccer_player_8386_bart-base
baek26/wiki_asp-soccer_player_8386_bart-base
wiki_asp-soccer_player_8386_bart-base is a machine learning model from baek26. 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
- bart
- Access
- Public
- Created
- Apr 4, 2024
- Updated
- Apr 4, 2024
- SHA
- d284cde6
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. -->
wiki_asp-soccer_player_8386_bart-base
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3433
- Rouge1: 0.1481
- Rouge2: 0.0462
- Rougel: 0.1234
- Rougelsum: 0.1234
- Gen Len: 19.99
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 3.04 | 500 | 2.5513 | 0.1361 | 0.0387 | 0.1138 | 0.1139 | 19.9985 |
| No log | 6.09 | 1000 | 2.3828 | 0.1419 | 0.0428 | 0.1184 | 0.1184 | 19.9985 |
| No log | 9.13 | 1500 | 2.3433 | 0.1481 | 0.0462 | 0.1234 | 0.1234 | 19.99 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Apr 4, 2024
- Updated
- Apr 4, 2024