Training in progress epoch 0

README.md

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+---
+license: mit
+tags:
+- generated_from_keras_callback
+model-index:
+- name: huynhdoo/flaubert_base_uncased-finetuned-CLS
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# huynhdoo/flaubert_base_uncased-finetuned-CLS
+
+This model is a fine-tuned version of [flaubert/flaubert_base_uncased](https://huggingface.co/flaubert/flaubert_base_uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.5561
+- Validation Loss: 0.3184
+- Train Accuracy: 0.8589
+- Epoch: 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:
+- optimizer: {'name': 'Adam', 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 669, '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-08, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Train Accuracy | Epoch |
+|:----------:|:---------------:|:--------------:|:-----:|
+| 0.5561     | 0.3184          | 0.8589         | 0     |
+
+
+### Framework versions
+
+- Transformers 4.26.0
+- TensorFlow 2.9.2
+- Datasets 2.9.0
+- Tokenizers 0.13.2

config.json

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+{
+  "_name_or_path": "flaubert/flaubert_base_uncased",
+  "amp": 1,
+  "architectures": [
+    "FlaubertForSequenceClassification"
+  ],
+  "asm": false,
+  "attention_dropout": 0.1,
+  "bos_index": 0,
+  "bos_token_id": 0,
+  "bptt": 512,
+  "causal": false,
+  "clip_grad_norm": 5,
+  "dropout": 0.1,
+  "emb_dim": 768,
+  "embed_init_std": 0.02209708691207961,
+  "encoder_only": true,
+  "end_n_top": 5,
+  "eos_index": 1,
+  "fp16": true,
+  "gelu_activation": true,
+  "group_by_size": true,
+  "id2label": {
+    "0": "negative",
+    "1": "positive"
+  },
+  "id2lang": {
+    "0": "fr"
+  },
+  "init_std": 0.02,
+  "is_encoder": true,
+  "label2id": {
+    "negative": 0,
+    "positive": 1
+  },
+  "lang2id": {
+    "fr": 0
+  },
+  "lang_id": 0,
+  "langs": [
+    "fr"
+  ],
+  "layer_norm_eps": 1e-12,
+  "layerdrop": 0.0,
+  "lg_sampling_factor": -1,
+  "lgs": "fr",
+  "mask_index": 5,
+  "mask_token_id": 0,
+  "max_batch_size": 0,
+  "max_position_embeddings": 512,
+  "max_vocab": -1,
+  "mlm_steps": [
+    [
+      "fr",
+      null
+    ]
+  ],
+  "model_type": "flaubert",
+  "n_heads": 12,
+  "n_langs": 1,
+  "n_layers": 12,
+  "pad_index": 2,
+  "pad_token_id": 2,
+  "pre_norm": false,
+  "sample_alpha": 0,
+  "share_inout_emb": true,
+  "sinusoidal_embeddings": false,
+  "start_n_top": 5,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "first",
+  "summary_use_proj": true,
+  "tokens_per_batch": -1,
+  "transformers_version": "4.26.0",
+  "unk_index": 3,
+  "use_lang_emb": true,
+  "vocab_size": 67542,
+  "word_blank": 0,
+  "word_dropout": 0,
+  "word_keep": 0.1,
+  "word_mask": 0.8,
+  "word_mask_keep_rand": "0.8,0.1,0.1",
+  "word_pred": 0.15,
+  "word_rand": 0.1,
+  "word_shuffle": 0
+}

logs/train/events.out.tfevents.1675250988.ccc0feeed819.6436.0.v2

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logs/validation/events.out.tfevents.1675252386.ccc0feeed819.6436.1.v2

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special_tokens_map.json

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+  "pad_token": "<pad>",
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+}

tf_model.h5

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tokenizer_config.json

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+{
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+    "<special0>",
+    "<special1>",
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+  "cls_token": "</s>",
+  "do_lower_case": true,
+  "id2lang": null,
+  "lang2id": null,
+  "mask_token": "<special1>",
+  "model_max_length": 512,
+  "name_or_path": "flaubert/flaubert_base_uncased",
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "special_tokens_map_file": null,
+  "tokenizer_class": "FlaubertTokenizer",
+  "unk_token": "<unk>"
+}