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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: sauc-abadal-lloret/distilbert-base-uncased-ft-imdb-mlm
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: distilbert-base-uncased-ft-imdb-mlm-ft-imdb-sentiment-classifier
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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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# distilbert-base-uncased-ft-imdb-mlm-ft-imdb-sentiment-classifier
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This model is a fine-tuned version of [sauc-abadal-lloret/distilbert-base-uncased-ft-imdb-mlm](https://huggingface.co/sauc-abadal-lloret/distilbert-base-uncased-ft-imdb-mlm) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2862
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- Precision: 0.9244
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- Recall: 0.9016
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- F1: 0.9129
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- Accuracy: 0.916
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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: 32
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- eval_batch_size: 32
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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: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 0.2988 | 1.0 | 313 | 0.2395 | 0.8938 | 0.9139 | 0.9037 | 0.905 |
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| 0.1755 | 2.0 | 626 | 0.2566 | 0.9121 | 0.8934 | 0.9027 | 0.906 |
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| 0.1105 | 3.0 | 939 | 0.2862 | 0.9244 | 0.9016 | 0.9129 | 0.916 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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runs/Sep07_10-43-27_e77f5cefc631/events.out.tfevents.1725705809.e77f5cefc631.693.4
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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size 7487
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