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debug_fict-full-lstm-42
abhinavp/debug_fict-full-lstm-42
debug_fict-full-lstm-42 is a machine learning model from abhinavp. 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
- rnn
- Access
- Public
- Created
- Nov 21, 2023
- Updated
- Nov 21, 2023
- SHA
- d89e323d
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. -->
debug_fict-full-lstm-42
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.8466
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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 10.8142 | 0.08 | 10 | 10.8052 |
| 10.7959 | 0.16 | 20 | 10.7830 |
| 10.7637 | 0.24 | 30 | 10.7251 |
| 10.62 | 0.32 | 40 | 10.3063 |
| 9.8971 | 0.4 | 50 | 9.2732 |
| 9.0782 | 0.48 | 60 | 8.6678 |
| 8.5836 | 0.56 | 70 | 8.3319 |
| 8.4033 | 0.64 | 80 | 8.1296 |
| 8.2454 | 0.72 | 90 | 8.0021 |
| 8.1265 | 0.8 | 100 | 7.9212 |
| 8.0655 | 0.88 | 110 | 7.8713 |
| 8.1315 | 0.96 | 120 | 7.8466 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
- Library
- transformers
- Type
- rnn
- Created
- Nov 21, 2023
- Updated
- Nov 21, 2023