End of training

README.md

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+---
+base_model: camembert/camembert-base-ccnet
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: camembert_ccnet_classification_tools_qlora-8bit_fr
+  results: []
+---
+
+<!-- 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_ccnet_classification_tools_qlora-8bit_fr
+
+This model is a fine-tuned version of [camembert/camembert-base-ccnet](https://huggingface.co/camembert/camembert-base-ccnet) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4541
+- Accuracy: 0.825
+- Learning Rate: 0.0
+
+## 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: 0.0001
+- train_batch_size: 24
+- eval_batch_size: 192
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Rate   |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 1.5754        | 1.0   | 7    | 1.4661          | 0.85     | 0.0001 |
+| 1.5602        | 2.0   | 14   | 1.4618          | 0.85     | 0.0000 |
+| 1.5649        | 3.0   | 21   | 1.4541          | 0.825    | 0.0    |
+
+
+### Framework versions
+
+- Transformers 4.34.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.14.1