Upload folder using huggingface_hub
Browse files- README.md +36 -0
- added_tokens.json +3 -0
- bpe.codes +0 -0
- checkpoint-3639/config.json +41 -0
- checkpoint-3639/model.safetensors +3 -0
- checkpoint-3639/optimizer.pt +3 -0
- checkpoint-3639/rng_state.pth +3 -0
- checkpoint-3639/scheduler.pt +3 -0
- checkpoint-3639/trainer_state.json +1111 -0
- checkpoint-3639/training_args.bin +3 -0
- config.json +41 -0
- model.safetensors +3 -0
- runs/Oct22_17-11-50_r-alohia-autotrain-advanced-5iqztfhh-24d2f-9qr9x/events.out.tfevents.1729617112.r-alohia-autotrain-advanced-5iqztfhh-24d2f-9qr9x.173.0 +2 -2
- runs/Oct22_17-11-50_r-alohia-autotrain-advanced-5iqztfhh-24d2f-9qr9x/events.out.tfevents.1729618026.r-alohia-autotrain-advanced-5iqztfhh-24d2f-9qr9x.173.1 +3 -0
- special_tokens_map.json +9 -0
- tokenizer_config.json +55 -0
- training_args.bin +3 -0
- training_params.json +30 -0
- vocab.txt +0 -0
README.md
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---
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tags:
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- autotrain
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- text-classification
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base_model: finiteautomata/bertweet-base-sentiment-analysis
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widget:
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- text: "I love AutoTrain"
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---
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# Model Trained Using AutoTrain
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- Problem type: Text Classification
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## Validation Metrics
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loss: 0.021347366273403168
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f1_macro: 0.9936121048770471
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f1_micro: 0.9955175434076975
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f1_weighted: 0.9955108152465474
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precision_macro: 0.9946094746601329
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precision_micro: 0.9955175434076975
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precision_weighted: 0.9955142956474508
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recall_macro: 0.9926308276207328
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recall_micro: 0.9955175434076975
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recall_weighted: 0.9955175434076975
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accuracy: 0.9955175434076975
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added_tokens.json
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{
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"<mask>": 64000
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}
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bpe.codes
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The diff for this file is too large to render.
See raw diff
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checkpoint-3639/config.json
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{
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"_name_or_path": "finiteautomata/bertweet-base-sentiment-analysis",
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"_num_labels": 3,
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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": "NEG",
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"1": "NEU",
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"2": "POS"
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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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"NEG": 0,
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"NEU": 1,
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"POS": 2
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 130,
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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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"tokenizer_class": "BertweetTokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.45.0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 64001
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}
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checkpoint-3639/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ec1a41015d1cbf6fb1eb310fdb119815bb0a7d46ffdb320e51a506efdced8254
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size 539633244
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checkpoint-3639/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:cf7475f1afdeec2ab10720b721a6814f0b57ec26029d122aa095c9a52675590d
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size 1079386298
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checkpoint-3639/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:49f991389b462b37c74eaf89fea6be796a3c37607b1a8b83b9e07cda5d090328
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size 14244
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checkpoint-3639/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:4a852602f36fe1b62d8bce97a9d20037365f087660c663f6f969fe086190a57e
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size 1064
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checkpoint-3639/trainer_state.json
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vocab.txt
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