End of training
Browse files- README.md +58 -0
- config.json +37 -0
- model.safetensors +3 -0
- runs/Jan28_20-21-56_e353b842f766/events.out.tfevents.1706473326.e353b842f766.3209.8 +3 -0
- runs/Jan28_20-21-56_e353b842f766/events.out.tfevents.1706473760.e353b842f766.3209.9 +3 -0
- runs/Jan28_20-21-56_e353b842f766/events.out.tfevents.1706474132.e353b842f766.3209.10 +3 -0
- runs/Jan28_20-21-56_e353b842f766/events.out.tfevents.1706476560.e353b842f766.3209.11 +3 -0
- runs/Jan28_20-21-56_e353b842f766/events.out.tfevents.1706478979.e353b842f766.3209.12 +3 -0
- runs/Jan28_20-21-56_e353b842f766/events.out.tfevents.1706479421.e353b842f766.3209.13 +3 -0
- runs/Jan28_22-03-41_e353b842f766/events.out.tfevents.1706479423.e353b842f766.3209.14 +3 -0
- runs/Jan28_22-03-41_e353b842f766/events.out.tfevents.1706487472.e353b842f766.3209.15 +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +57 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
README.md
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---
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base_model: ProsusAI/finbert
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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: fine_tuned_finbert
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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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# fine_tuned_finbert
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This model is a fine-tuned version of [ProsusAI/finbert](https://huggingface.co/ProsusAI/finbert) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3737
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- Accuracy: 0.8455
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- F1: 0.8449
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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: 3.249997519166043e-05
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- train_batch_size: 1
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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: 10
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### Training results
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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config.json
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{
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"_name_or_path": "ProsusAI/finbert",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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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": "positive",
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"1": "negative",
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"2": "neutral"
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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": 1,
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"neutral": 2,
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"positive": 0
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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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": "4.35.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30522
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}
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model.safetensors
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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tokenizer.json
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tokenizer_config.json
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"unk_token": "[UNK]"
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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vocab.txt
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