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RoBERTa-GPT2_EmpAI_FineTuned
LuangMV97/RoBERTa-GPT2_EmpAI_FineTuned
RoBERTa-GPT2_EmpAI_FineTuned is a machine learning model from LuangMV97. 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
- encoder-decoder
- Access
- Public
- Created
- Mar 31, 2024
- Updated
- Mar 31, 2024
- SHA
- 0b42a4d5
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. -->
RoBERTa-GPT2_EmpAI_FineTuned
This model is a fine-tuned version of LuangMV97/RoBERTa-GPT2_EmpAI on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3986
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6834 | 1.0 | 3867 | 0.7001 |
| 0.4857 | 2.0 | 7734 | 0.5345 |
| 0.3553 | 3.0 | 11601 | 0.4425 |
| 0.2913 | 4.0 | 15468 | 0.4050 |
| 0.278 | 5.0 | 19335 | 0.3986 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- encoder-decoder
- Created
- Mar 31, 2024
- Updated
- Mar 31, 2024