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xtremedistil-emotion

This model is a fine-tuned version of microsoft/xtremedistil-l6-h256-uncased on the emotion dataset. It achieves the following results on the evaluation set:

  • Accuracy: 0.9265

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 3e-05
  • train_batch_size: 128
  • eval_batch_size: 8
  • seed: 42
  • num_epochs: 24

Training results

Epoch	Training Loss	Validation Loss	Accuracy
1	No log	1.238589	0.609000
2	No log	0.934423	0.714000
3	No log	0.768701	0.742000
4	1.074800	0.638208	0.805500
5	1.074800	0.551363	0.851500
6	1.074800	0.476291	0.875500
7	1.074800	0.427313	0.883500
8	0.531500	0.392633	0.886000
9	0.531500	0.357979	0.892000
10	0.531500	0.330304	0.899500
11	0.531500	0.304529	0.907000
12	0.337200	0.287447	0.918000
13	0.337200	0.277067	0.921000
14	0.337200	0.259483	0.921000
15	0.337200	0.257564	0.916500
16	0.246200	0.241970	0.919500
17	0.246200	0.241537	0.921500
18	0.246200	0.235705	0.924500
19	0.246200	0.237325	0.920500
20	0.201400	0.229699	0.923500
21	0.201400	0.227426	0.923000
22	0.201400	0.228554	0.924000
23	0.201400	0.226941	0.925500
24	0.184300	0.225816	0.926500
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Dataset used to train bergum/xtremedistil-emotion

Evaluation results