lunadebruyne
commited on
lunadebruyne/fine_tuned_model
Browse files- README.md +50 -0
- config.json +49 -0
- model.safetensors +3 -0
- runs/Feb21_10-30-12_385d7f6a99a0/events.out.tfevents.1708511413.385d7f6a99a0.950.0 +3 -0
- runs/Feb21_10-33-10_385d7f6a99a0/events.out.tfevents.1708511591.385d7f6a99a0.950.1 +3 -0
- runs/Feb21_10-34-02_385d7f6a99a0/events.out.tfevents.1708511642.385d7f6a99a0.950.2 +3 -0
- runs/Feb21_10-34-22_385d7f6a99a0/events.out.tfevents.1708511662.385d7f6a99a0.950.3 +3 -0
- runs/Feb21_10-38-01_385d7f6a99a0/events.out.tfevents.1708511882.385d7f6a99a0.950.4 +3 -0
- runs/Feb21_10-38-17_385d7f6a99a0/events.out.tfevents.1708511899.385d7f6a99a0.950.5 +3 -0
- runs/Feb21_10-42-33_385d7f6a99a0/events.out.tfevents.1708512154.385d7f6a99a0.950.6 +3 -0
- runs/Feb21_10-44-52_385d7f6a99a0/events.out.tfevents.1708512293.385d7f6a99a0.950.7 +3 -0
- runs/Feb21_10-45-56_385d7f6a99a0/events.out.tfevents.1708512356.385d7f6a99a0.950.8 +3 -0
- runs/Feb21_11-00-19_385d7f6a99a0/events.out.tfevents.1708513220.385d7f6a99a0.950.9 +3 -0
- runs/Feb21_11-07-07_385d7f6a99a0/events.out.tfevents.1708513627.385d7f6a99a0.950.10 +3 -0
- training_args.bin +3 -0
README.md
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---
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base_model: j-hartmann/emotion-english-distilroberta-base
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tags:
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- generated_from_trainer
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model-index:
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- name: test_trainer
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results: []
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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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# test_trainer
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This model is a fine-tuned version of [j-hartmann/emotion-english-distilroberta-base](https://huggingface.co/j-hartmann/emotion-english-distilroberta-base) on an unknown dataset.
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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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- 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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### Training results
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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.1.0+cu121
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- Tokenizers 0.15.2
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config.json
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{
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"_name_or_path": "j-hartmann/emotion-english-distilroberta-base",
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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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": 768,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4",
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"5": "LABEL_5",
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"6": "LABEL_6",
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"7": "LABEL_7"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5,
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"LABEL_6": 6,
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"LABEL_7": 7
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 6,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.37.2",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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model.safetensors
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training_args.bin
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