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finetuned-model
abvijaykumar/finetuned-model
finetuned-model is a machine learning model from abvijaykumar. 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 peft. 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
- peft
- License
- mit
- Access
- Public
- Created
- Sep 12, 2023
- Updated
- Jan 21, 2024
- SHA
- 24b55b71
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-model
This model is a fine-tuned version of openai-community/gpt2-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5251
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: 2e-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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 440 | 0.5692 |
| 0.6344 | 2.0 | 880 | 0.5346 |
| 0.5737 | 3.0 | 1320 | 0.5251 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.0
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0
- Library
- peft
- License
- mit
- Created
- Sep 12, 2023
- Updated
- Jan 21, 2024