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End of training

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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: spanemo-id-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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+ # spanemo-id-pretrained
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - eval_loss: 0.6842
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+ - eval_f1_Macro: 0.1747
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+ - eval_f1_Micro: 0.1934
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+ - eval_js: 0.0851
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+ - eval_hamming_loss: 0.4428
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+ - eval_runtime: 5.5759
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+ - eval_samples_per_second: 151.007
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+ - eval_steps_per_second: 4.842
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+ - step: 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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+ - learning_rate: 2e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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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: 10
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+
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+ ### Framework versions
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+
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+ - Transformers 4.40.0.dev0
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.1.dev0
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+ - Tokenizers 0.15.2
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+ "surprise": 31923
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+ }
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+ {
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+ "architectures": [
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+ "SpanEmo"
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+ ],
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+ "embedding_vocab_size": 31929,
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+ "id2label": {
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+ "0": "surprise",
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+ "1": "sadness",
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+ "2": "like",
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+ "3": "happiness",
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+ "4": "fear",
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+ "6": "anger"
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+ },
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+ "inter_loss_factor": 0.0,
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+ "model_type": "spanemo",
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+ "output_dropout": 0.1,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.40.0.dev0",
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+ "zlpr_loss_factor": 0.0
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+ }
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vocab.txt ADDED
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