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finetuned-baseline
ishwarbb23/finetuned-baseline
finetuned-baseline is a machine learning model from ishwarbb23. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- t5
- Access
- Public
- Created
- Oct 1, 2023
- Updated
- Oct 2, 2023
- SHA
- 35bcaaa0
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. -->
finetuned-baseline
This model is a fine-tuned version t5 Model on SQuAD and r/depression_help Data. It achieves the following results on the evaluation set:
- Loss: 3.4731
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: 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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9133 | 2.87 | 100 | 3.5685 |
| 3.7034 | 5.75 | 200 | 3.4987 |
| 3.6402 | 8.62 | 300 | 3.4731 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- License
- mit
- Created
- Oct 1, 2023
- Updated
- Oct 2, 2023