Training in progress epoch 0
Browse files- README.md +55 -0
- config.json +27 -0
- logs/train/events.out.tfevents.1676022783.9a26f421da70.364.0.v2 +3 -0
- logs/validation/events.out.tfevents.1676022963.9a26f421da70.364.1.v2 +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +19 -0
- tf_model.h5 +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +24 -0
README.md
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---
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license: mit
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tags:
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- generated_from_keras_callback
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model-index:
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- name: huynhdoo/camembert-base-finetuned-jva-missions-report
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results: []
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# huynhdoo/camembert-base-finetuned-jva-missions-report
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This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.4575
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- Train Accuracy: 0.7934
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- Validation Loss: 0.4093
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- Validation Accuracy: 0.8492
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- Epoch: 0
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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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- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 603, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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| 0.4575 | 0.7934 | 0.4093 | 0.8492 | 0 |
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### Framework versions
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- Transformers 4.26.1
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- TensorFlow 2.9.2
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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config.json
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{
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"_name_or_path": "camembert-base",
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"architectures": [
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"CamembertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 5,
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"classifier_dropout": null,
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"eos_token_id": 6,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "camembert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"transformers_version": "4.26.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 32005
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}
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logs/train/events.out.tfevents.1676022783.9a26f421da70.364.0.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:5134079732edd58a3d5e72bca98950deb1b14eb7fb7f68100f0c7687d74ee0f9
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size 3138742
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logs/validation/events.out.tfevents.1676022963.9a26f421da70.364.1.v2
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version https://git-lfs.github.com/spec/v1
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oid sha256:067320d9348089e63af6f584a849f2f0959922b9a1e71eccada88bd529b3a830
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size 356
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:988bc5a00281c6d210a5d34bd143d0363741a432fefe741bf71e61b1869d4314
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size 810912
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<s>NOTUSED",
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"</s>NOTUSED"
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],
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec7068fc70f0d39df859b5a66c2b788c421e4cb46363e3ed4870811bdeb2037d
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size 442783616
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tokenizer.json
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tokenizer_config.json
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{
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"additional_special_tokens": [
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"<s>NOTUSED",
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"</s>NOTUSED"
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],
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"__type": "AddedToken",
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"content": "<mask>",
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"lstrip": true,
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"normalized": true,
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"rstrip": false,
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"single_word": false
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},
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"model_max_length": 512,
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"name_or_path": "camembert-base",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"special_tokens_map_file": null,
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"tokenizer_class": "CamembertTokenizer",
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"unk_token": "<unk>"
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}
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