chat-prompts

This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 4.8844
• Accuracy: 0.1647

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	22	5.1285	0.0059
No log	2.0	44	5.1238	0.0118
No log	3.0	66	5.1159	0.0118
No log	4.0	88	5.0894	0.0118
No log	5.0	110	5.0602	0.0176
No log	6.0	132	5.0048	0.0294
No log	7.0	154	4.9572	0.0706
No log	8.0	176	4.9201	0.0941
No log	9.0	198	4.8930	0.1294
No log	10.0	220	4.8844	0.1647

Framework versions

• Transformers 4.47.0
• Pytorch 2.5.1+cu124
• Datasets 3.2.0
• Tokenizers 0.21.0