End of training
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README.md
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---
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license: apache-2.0
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base_model: data354/camembert-fr-covid-tweet-sentiment-classification
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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: Finetuning-model-fr-covid-tweet-sentiment-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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# Finetuning-model-fr-covid-tweet-sentiment-classification
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This model is a fine-tuned version of [data354/camembert-fr-covid-tweet-sentiment-classification](https://huggingface.co/data354/camembert-fr-covid-tweet-sentiment-classification) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7569
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- Accuracy: 0.7633
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- F1: 0.7633
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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: 3
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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 | 300 | 0.9091 | 0.7483 | 0.7483 |
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| 0.2597 | 2.0 | 600 | 0.6695 | 0.7675 | 0.7675 |
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| 0.2597 | 3.0 | 900 | 0.7569 | 0.7633 | 0.7633 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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runs/Dec01_15-58-08_3a5bffba78b8/events.out.tfevents.1701446745.3a5bffba78b8.1987.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:fdd3cb09cf1ec8ecf8626c3af8de532fa557e0ccf49914946173a67d092046d3
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size 457
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