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pythia-14m-measurement_pred
oliverdk/pythia-14m-measurement_pred
pythia-14m-measurement_pred is a text classification model from oliverdk. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- gpt_neox_mp
- Access
- Public
- Created
- May 21, 2024
- Updated
- May 23, 2024
- SHA
- 822506e8
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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. -->
pythia-14m-measurement_pred
This model is a fine-tuned version of EleutherAI/pythia-14m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.4923
- Accuracy: 0.25
- Accuracy Sensor 0: 1.0
- Auroc Sensor 0: 0.0
- Accuracy Sensor 1: 0.0
- Auroc Sensor 1: 0.0
- Accuracy Sensor 2: 0.0
- Auroc Sensor 2: 0.0
- Accuracy Aggregated: 0.0
- Auroc Aggregated: 0.0
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
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 64
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Accuracy Sensor 0 | Auroc Sensor 0 | Accuracy Sensor 1 | Auroc Sensor 1 | Accuracy Sensor 2 | Auroc Sensor 2 | Accuracy Aggregated | Auroc Aggregated |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 1 | 3.7439 | 0.25 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 2.0 | 2 | 3.7212 | 0.25 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 3.0 | 3 | 3.6754 | 0.25 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 4.0 | 4 | 3.6005 | 0.25 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| No log | 5.0 | 5 | 3.4923 | 0.25 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- gpt_neox_mp
- Created
- May 21, 2024
- Updated
- May 23, 2024