End of training
Browse files- README.md +69 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: distilbert-base-uncased
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: distill_bert_classification
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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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# distill_bert_classification
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6024
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- F1: 0.7168
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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: 16
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- eval_batch_size: 16
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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 | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 388 | 0.5234 | 0.7637 |
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| 0.5453 | 2.0 | 776 | 0.5314 | 0.7673 |
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| 0.4146 | 3.0 | 1164 | 0.5694 | 0.7541 |
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| 0.2822 | 4.0 | 1552 | 0.6709 | 0.7428 |
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| 0.2822 | 5.0 | 1940 | 1.0074 | 0.7154 |
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| 0.1729 | 6.0 | 2328 | 1.2874 | 0.7049 |
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| 0.0885 | 7.0 | 2716 | 1.3463 | 0.7316 |
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| 0.0656 | 8.0 | 3104 | 1.5599 | 0.7064 |
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| 0.0656 | 9.0 | 3492 | 1.5743 | 0.7195 |
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| 0.0426 | 10.0 | 3880 | 1.6024 | 0.7168 |
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### Framework versions
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- Transformers 4.41.1
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- Pytorch 1.13.1+cu117
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 267832560
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version https://git-lfs.github.com/spec/v1
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size 267832560
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