Shushant Pudasaini
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update model card README.md
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README.md
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tags:
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- generated_from_trainer
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datasets:
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-
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model-index:
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- name: questionansweringmodel
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results: []
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language:
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- en
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- gl
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metrics:
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- exact_match
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- f1
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library_name: transformers
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# questionansweringmodel
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This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large).
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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tags:
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- generated_from_trainer
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datasets:
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- squad
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model-index:
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- name: questionansweringmodel
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# questionansweringmodel
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This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the squad dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.9365
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## Model description
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.7398 | 1.0 | 5520 | 0.7216 |
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| 0.5263 | 2.0 | 11040 | 0.7513 |
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| 0.3828 | 3.0 | 16560 | 0.8821 |
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| 0.2411 | 4.0 | 22080 | 1.0024 |
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| 0.1549 | 5.0 | 27600 | 1.3959 |
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| 0.0996 | 6.0 | 33120 | 1.7559 |
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| 0.0594 | 7.0 | 38640 | 2.0031 |
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| 0.0393 | 8.0 | 44160 | 2.3654 |
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| 0.0326 | 9.0 | 49680 | 2.7383 |
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| 0.0162 | 10.0 | 55200 | 2.9365 |
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### Framework versions
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- Transformers 4.26.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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