Downloads · 30 days
6
14% of all-time downloads
token_fine_tunned_flipkart_2_gl11
vinayak361/token_fine_tunned_flipkart_2_gl11
token_fine_tunned_flipkart_2_gl11 is a token classification model from vinayak361. Use it when you need labels on individual words, such as names. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
42
Public
Repo size
797 MB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin266 MB · 100%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Mar 15, 2023
- Updated
- Mar 16, 2023
- SHA
- bef6f7d3
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Mar 15, 2023
- Updated
- Mar 16, 2023