HueyNemud commited on
Commit
756e3cb
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updated model

Browse files
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: berties-pretrained
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+ results: []
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+ ---
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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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+
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+ # berties-pretrained
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+
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+ This model is a fine-tuned version of [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.3922
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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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: 3.0
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 5.7047 | 0.21 | 500 | 5.0371 |
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+ | 4.4116 | 0.43 | 1000 | 4.5143 |
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+ | 4.0711 | 0.64 | 1500 | 4.3272 |
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+ | 3.8657 | 0.86 | 2000 | 4.1704 |
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+ | 3.6971 | 1.07 | 2500 | 3.9951 |
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+ | 3.5093 | 1.29 | 3000 | 3.7682 |
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+ | 3.3598 | 1.5 | 3500 | 3.6554 |
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+ | 3.2389 | 1.72 | 4000 | 3.6167 |
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+ | 3.1984 | 1.93 | 4500 | 3.4445 |
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+ | 3.1063 | 2.15 | 5000 | 3.4206 |
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+ | 3.0063 | 2.36 | 5500 | 3.4164 |
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+ | 3.0069 | 2.57 | 6000 | 3.4115 |
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+ | 2.9954 | 2.79 | 6500 | 3.3463 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.15.0
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+ - Pytorch 1.10.0+cu111
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+ - Datasets 1.17.0
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+ - Tokenizers 0.10.3
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+ "perplexity": 29.732472807173135,
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+ "train_loss": 3.5777804869601746,
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+ "train_steps_per_second": 3.264
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+ }
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  {
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- "_name_or_path": "/tmp/berties-pretrained",
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  "architectures": [
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- "CamembertModel"
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  ],
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  "attention_probs_dropout_prob": 0.1,
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