Added Sentiment Analysis Model Weights and Config
Browse filesAdded two models that has been finetuned on XMLRoBERTa.
3_Label model can classify text as positive, neutral and negative.
2_Label_Twitter is finetuned with tweets and can predict tweets as positive and negative.
- 2_Label_Twitter/config.json +30 -0
- 2_Label_Twitter/pytorch_model.bin +3 -0
- 2_Label_Twitter/training_args.bin +3 -0
- 3_Label/config.json +40 -0
- 3_Label/pytorch_model.bin +3 -0
- 3_Label/training_args.bin +3 -0
2_Label_Twitter/config.json
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{
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"_name_or_path": "cardiffnlp/twitter-xlm-roberta-base",
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"architectures": [
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"XLMRobertaForSequenceClassification"
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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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": "4.23.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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}
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2_Label_Twitter/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e289da51a08bd1d745c0745c61c0ec650c22dfbba9671335f40839008d5dcaf7
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size 1112252397
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2_Label_Twitter/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:13935cc49ed4b4bb1cf7cd2d023c5f84a3f89b1b1e17e5a6b48b25c6855340de
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size 3311
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3_Label/config.json
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{
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"_name_or_path": "cardiffnlp/twitter-xlm-roberta-base",
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"architectures": [
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"XLMRobertaForSequenceClassification"
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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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},
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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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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "xlm-roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"output_past": true,
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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": "4.22.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 250002
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}
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3_Label/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:99e4167ef9695ceeeb38e94260116b1deed9cda1fdc458a848837cc759c9a5ea
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size 1112255469
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3_Label/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b3a065e6f29be5185e561945f44fbddec07a8e87bbef3318bd8808ae19093e1d
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size 3311
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