finetuning-emotion-model-f7bshardquant
This model is a fine-tuned version of ybelkada/falcon-7b-sharded-bf16 on the emotion dataset. It achieves the following results on the evaluation set:
- Loss: 1.4243
- Accuracy: 0.4745
- F1: 0.3945
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 1.4214 | 1.0 | 8000 | 1.4243 | 0.4745 | 0.3945 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
Model tree for pjherron/finetuning-emotion-model-f7bshardquant
Base model
ybelkada/falcon-7b-sharded-bf16