File size: 1,292 Bytes
edcd5d8 |
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 |
---
license: mit
base_model: Rakib/roberta-base-on-cuad
tags:
- generated_from_trainer
model-index:
- name: roberta-base-on-cuad-finetuned-squad
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. -->
# roberta-base-on-cuad-finetuned-squad
This model is a fine-tuned version of [Rakib/roberta-base-on-cuad](https://huggingface.co/Rakib/roberta-base-on-cuad) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.9238
- eval_runtime: 213.2462
- eval_samples_per_second: 50.599
- eval_steps_per_second: 3.165
- epoch: 2.2579
- step: 12500
## 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: 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: 3
### Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
|