td3_nlp / README.md
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metadata
library_name: transformers
license: mit
base_model: almanach/camembert-base
tags:
  - generated_from_trainer
metrics:
  - precision
  - recall
  - f1
  - accuracy
model-index:
  - name: td3_nlp
    results: []

td3_nlp

This model is a fine-tuned version of almanach/camembert-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0257
  • Precision: 0.0
  • Recall: 0.0
  • F1: 0.0
  • Accuracy: 0.9981

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: 4

Training results

Training Loss Epoch Step Validation Loss Precision Recall F1 Accuracy
No log 1.0 160 0.0477 0.0 0.0 0.0 0.9969
No log 2.0 320 0.0317 0.0 0.0 0.0 0.9981
No log 3.0 480 0.0270 0.0 0.0 0.0 0.9980
0.0879 4.0 640 0.0257 0.0 0.0 0.0 0.9981

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.5.0+cu121
  • Tokenizers 0.19.1