Samaksh Khatri
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update model card README.md
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README.md
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---
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license: apache-2.0
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base_model: distilbert-base-uncased-distilled-squad
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: gmra_model_distilbert-base-uncased-distilled-squad_17082023T150913
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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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should probably proofread and complete it, then remove this comment. -->
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# gmra_model_distilbert-base-uncased-distilled-squad_17082023T150913
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This model is a fine-tuned version of [distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert-base-uncased-distilled-squad) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6179
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- Accuracy: 0.2575
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- F1: 0.0683
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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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 | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 1.0 | 142 | 1.6182 | 0.2575 | 0.0683 |
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| No log | 2.0 | 284 | 1.6184 | 0.2575 | 0.0683 |
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| No log | 2.99 | 426 | 1.6182 | 0.2575 | 0.0683 |
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| 1.6013 | 4.0 | 569 | 1.6181 | 0.2575 | 0.0683 |
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| 1.6013 | 5.0 | 711 | 1.6182 | 0.2575 | 0.0683 |
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| 1.6013 | 6.0 | 853 | 1.6179 | 0.2575 | 0.0683 |
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| 1.6013 | 6.99 | 995 | 1.6180 | 0.2575 | 0.0683 |
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| 1.6032 | 8.0 | 1138 | 1.6179 | 0.2575 | 0.0683 |
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| 1.6032 | 9.0 | 1280 | 1.6177 | 0.2575 | 0.0683 |
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| 1.6032 | 9.98 | 1420 | 1.6179 | 0.2575 | 0.0683 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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