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pythia160m-rm-tldr
mnoukhov/pythia160m-rm-tldr
pythia160m-rm-tldr is a text classification model from mnoukhov. Use it when you need a label for a piece of text. 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
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- gpt_neox
- Access
- Public
- Created
- Jun 18, 2024
- Updated
- Jun 18, 2024
- SHA
- 360faa9b
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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. -->
pythia160m-rm-tldr
This model is a fine-tuned version of mnoukhov/pythia160m-sft-tldr on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5769
- Accuracy: 0.6938
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
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6584 | 0.2006 | 291 | 0.6132 | 0.6663 |
| 0.6248 | 0.4011 | 582 | 0.5890 | 0.6850 |
| 0.6203 | 0.6017 | 873 | 0.5939 | 0.6805 |
| 0.6124 | 0.8022 | 1164 | 0.5769 | 0.6938 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- gpt_neox
- License
- apache-2.0
- Created
- Jun 18, 2024
- Updated
- Jun 18, 2024