my_model_1000

This model is a fine-tuned version of lxyuan/distilbert-base-multilingual-cased-sentiments-student on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3065
• Accuracy: 0.9667

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	30	0.3535	0.9667
No log	2.0	60	0.4795	0.9333
No log	3.0	90	0.3092	0.9667
No log	4.0	120	0.3065	0.9667
No log	5.0	150	0.3179	0.9667
No log	6.0	180	0.3118	0.9667
No log	7.0	210	0.3148	0.9667
No log	8.0	240	0.3161	0.9667
No log	9.0	270	0.3164	0.9667
No log	10.0	300	0.3163	0.9667

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.1
• Tokenizers 0.19.1