token_fine_tunned_flipkart_2_gl11

This model is a fine-tuned version of vinayak361/token_fine_tunned_flipkart_2_gl7 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2288
• Precision: 0.9084
• Recall: 0.9229
• F1: 0.9156
• Accuracy: 0.9276

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-06
• 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	Precision	Recall	F1	Accuracy
0.362	1.0	1086	0.3079	0.8734	0.8941	0.8836	0.9012
0.3096	2.0	2172	0.2767	0.8858	0.9035	0.8946	0.9102
0.2806	3.0	3258	0.2591	0.8935	0.9111	0.9022	0.9167
0.2553	4.0	4344	0.2475	0.8989	0.9159	0.9073	0.9203
0.2372	5.0	5430	0.2400	0.9032	0.9184	0.9107	0.9237
0.2306	6.0	6516	0.2359	0.9060	0.9198	0.9128	0.9255
0.217	7.0	7602	0.2320	0.9063	0.9214	0.9138	0.9260
0.2048	8.0	8688	0.2302	0.9075	0.9226	0.9150	0.9268
0.2086	9.0	9774	0.2290	0.9086	0.9226	0.9155	0.9272
0.2072	10.0	10860	0.2288	0.9084	0.9229	0.9156	0.9276

Framework versions

• Transformers 4.19.2
• Pytorch 1.11.0+cu102
• Datasets 2.2.2
• Tokenizers 0.12.1