youtube-comments-roberta-twitter-sentiment
Browse files- README.md +58 -0
- config.json +39 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- runs/Jun12_21-38-28_3d1f243846a9/events.out.tfevents.1718228316.3d1f243846a9.1828.0 +3 -0
- runs/Jun12_21-38-28_3d1f243846a9/events.out.tfevents.1718228693.3d1f243846a9.1828.1 +3 -0
- special_tokens_map.json +51 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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base_model: cardiffnlp/twitter-roberta-base-sentiment-latest
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: youtube-trailer-sentiment-roberta-twitter
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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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# youtube-trailer-sentiment-roberta-twitter
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This model is a fine-tuned version of [cardiffnlp/twitter-roberta-base-sentiment-latest](https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9329
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- Accuracy: 0.8320
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- F1: 0.8306
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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 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.2
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "cardiffnlp/twitter-roberta-base-sentiment-latest",
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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": "negative",
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"1": "neutral",
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"2": "positive"
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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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"negative": 0,
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"neutral": 1,
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"positive": 2
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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": 12,
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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": "4.41.2",
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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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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e84c70ab3aa936e345d5c3a8a70066c3ebca20bf57227a94a71dedd2782311d0
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size 498615900
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runs/Jun12_21-38-28_3d1f243846a9/events.out.tfevents.1718228316.3d1f243846a9.1828.0
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version https://git-lfs.github.com/spec/v1
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size 6561
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runs/Jun12_21-38-28_3d1f243846a9/events.out.tfevents.1718228693.3d1f243846a9.1828.1
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version https://git-lfs.github.com/spec/v1
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size 457
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special_tokens_map.json
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tokenizer.json
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tokenizer_config.json
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"sep_token": "</s>",
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2d0c7f77c92d48a00b56e95e8c5923dede997e8664e59ed0efe45c86550a5718
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size 5304
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vocab.json
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