hbertv1-tiny-wt-48-emotion-emb-comp

This model is a fine-tuned version of gokuls/model_v1_complete_training_wt_init_48_tiny_emb_comp on the emotion dataset. It achieves the following results on the evaluation set:

• Loss: 0.3216
• Accuracy: 0.8885

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: 64
• eval_batch_size: 64
• seed: 33
• distributed_type: multi-GPU
• 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
1.3139	1.0	250	0.8529	0.727
0.6339	2.0	500	0.4745	0.848
0.4011	3.0	750	0.3605	0.875
0.2998	4.0	1000	0.3326	0.885
0.25	5.0	1250	0.3346	0.8815
0.2177	6.0	1500	0.3216	0.8885
0.1928	7.0	1750	0.3214	0.8885
0.1747	8.0	2000	0.3178	0.8875
0.1581	9.0	2250	0.3291	0.885
0.1404	10.0	2500	0.3260	0.887

Framework versions

• Transformers 4.31.0
• Pytorch 1.14.0a0+410ce96
• Datasets 2.13.1
• Tokenizers 0.13.3