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Training in progress epoch 0

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  1. README.md +55 -0
  2. config.json +86 -0
  3. special_tokens_map.json +7 -0
  4. tf_model.h5 +3 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +15 -0
  7. vocab.txt +0 -0
README.md ADDED
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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: jonaskoenig/xtremedistil-l6-h256-uncased-go-emotion
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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 Keras had access to. You should
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+ probably proofread and complete it, then remove this comment. -->
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+
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+ # jonaskoenig/xtremedistil-l6-h256-uncased-go-emotion
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+
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+ This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Train Loss: 3.1862
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+ - Train Categorical Accuracy: 0.3188
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+ - Validation Loss: 2.7378
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+ - Validation Categorical Accuracy: 0.3960
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+ - Epoch: 0
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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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+ - optimizer: {'name': 'Adam', 'learning_rate': 5e-05, '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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+
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+ ### Training results
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+
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+ | Train Loss | Train Categorical Accuracy | Validation Loss | Validation Categorical Accuracy | Epoch |
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+ |:----------:|:--------------------------:|:---------------:|:-------------------------------:|:-----:|
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+ | 3.1862 | 0.3188 | 2.7378 | 0.3960 | 0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.20.1
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+ - TensorFlow 2.9.1
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+ - Datasets 2.3.2
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+ - Tokenizers 0.12.1
config.json ADDED
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+ {
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+ "_name_or_path": "microsoft/xtremedistil-l6-h256-uncased",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 256,
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+ "id2label": {
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+ "0": "LABEL_0",
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 8,
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+ "num_hidden_layers": 6,
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+ "pad_token_id": 0,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "multi_label_classification",
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+ }
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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vocab.txt ADDED
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