End of training

README.md

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+---
+license: mit
+base_model: camembert-base
+tags:
+- generated_from_trainer
+datasets:
+- tweet_sentiment_multilingual
+metrics:
+- accuracy
+model-index:
+- name: camembert_model
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: tweet_sentiment_multilingual
+      type: tweet_sentiment_multilingual
+      config: french
+      split: validation
+      args: french
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7654320987654321
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# camembert_model
+
+This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the tweet_sentiment_multilingual dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7877
+- Accuracy: 0.7654
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 115  | 0.8510          | 0.6265   |
+| No log        | 2.0   | 230  | 0.7627          | 0.7130   |
+| No log        | 3.0   | 345  | 0.6966          | 0.7160   |
+| No log        | 4.0   | 460  | 0.6862          | 0.7438   |
+| 0.7126        | 5.0   | 575  | 0.6637          | 0.75     |
+| 0.7126        | 6.0   | 690  | 0.7121          | 0.7654   |
+| 0.7126        | 7.0   | 805  | 0.7641          | 0.7438   |
+| 0.7126        | 8.0   | 920  | 0.7662          | 0.7654   |
+| 0.2932        | 9.0   | 1035 | 0.7765          | 0.7747   |
+| 0.2932        | 10.0  | 1150 | 0.7877          | 0.7654   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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