File size: 1,528 Bytes
92e252c 6c8991f 92e252c 6c8991f 92e252c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 |
---
base_model: HooshvareLab/distilbert-fa-zwnj-base-ner
tags:
- generated_from_trainer
model-index:
- name: distilbert-fa-zwnj-base-ner-finetuned-imdb
results: []
---
<!-- 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. -->
# distilbert-fa-zwnj-base-ner-finetuned-imdb
This model is a fine-tuned version of [HooshvareLab/distilbert-fa-zwnj-base-ner](https://huggingface.co/HooshvareLab/distilbert-fa-zwnj-base-ner) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.4208
## 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-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.6035 | 1.0 | 157 | 4.9251 |
| 4.8152 | 2.0 | 314 | 4.5462 |
| 4.5829 | 3.0 | 471 | 4.4394 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
|