metadata
base_model: allenai/scibert_scivocab_cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: SOMD-scibert-3stage-stage1-v1
results: []
SOMD-scibert-3stage-stage1-v1
This model is a fine-tuned version of allenai/scibert_scivocab_cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0000
- F1: 1.0
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 74 | 0.0187 | 0.9293 |
| No log | 2.0 | 148 | 0.0053 | 0.9746 |
| No log | 3.0 | 222 | 0.0023 | 0.9914 |
| No log | 4.0 | 296 | 0.0013 | 0.9935 |
| No log | 5.0 | 370 | 0.0009 | 0.9974 |
| No log | 6.0 | 444 | 0.0003 | 0.9994 |
| No log | 7.0 | 518 | 0.0007 | 0.9980 |
| No log | 8.0 | 592 | 0.0001 | 0.9994 |
| No log | 9.0 | 666 | 0.0002 | 0.9994 |
| No log | 10.0 | 740 | 0.0001 | 0.9995 |
| No log | 11.0 | 814 | 0.0000 | 1.0 |
| No log | 12.0 | 888 | 0.0000 | 1.0 |
| No log | 13.0 | 962 | 0.0000 | 1.0 |
| No log | 14.0 | 1036 | 0.0000 | 1.0 |
| No log | 15.0 | 1110 | 0.0000 | 1.0 |
| No log | 16.0 | 1184 | 0.0000 | 1.0 |
| No log | 17.0 | 1258 | 0.0000 | 1.0 |
| No log | 18.0 | 1332 | 0.0000 | 1.0 |
| No log | 19.0 | 1406 | 0.0000 | 1.0 |
| No log | 20.0 | 1480 | 0.0000 | 1.0 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1