Initial commit from mrm8488
Browse files- README.md +70 -0
- config.json +39 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- runs/Sep13_11-26-56_59fd62c7c141/1631532507.0280204/events.out.tfevents.1631532507.59fd62c7c141.75.1 +3 -0
- runs/Sep13_11-26-56_59fd62c7c141/events.out.tfevents.1631532507.59fd62c7c141.75.0 +3 -0
- runs/Sep13_11-30-08_59fd62c7c141/1631532608.5955467/events.out.tfevents.1631532608.59fd62c7c141.75.3 +3 -0
- runs/Sep13_11-30-08_59fd62c7c141/events.out.tfevents.1631532608.59fd62c7c141.75.2 +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: apache-2.0
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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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model-index:
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- name: distilRoberta-stereotype
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results:
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- task:
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name: Text Classification
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type: text-classification
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.989151002901476
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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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# distilRoberta-stereotype
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This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0651
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- Accuracy: 0.9892
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|
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| 0.0783 | 1.0 | 5615 | 0.0703 | 0.9847 |
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| 0.0468 | 2.0 | 11230 | 0.0573 | 0.9863 |
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| 0.0316 | 3.0 | 16845 | 0.0580 | 0.9882 |
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| 0.0172 | 4.0 | 22460 | 0.0591 | 0.9885 |
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| 0.0098 | 5.0 | 28075 | 0.0651 | 0.9892 |
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### Framework versions
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- Transformers 4.10.2
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- Pytorch 1.9.0+cu102
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- Datasets 1.11.0
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- Tokenizers 0.10.3
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config.json
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{
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"_name_or_path": "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": "neutral",
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"1": "stereotype",
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"2": " anti-stereotype"
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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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"neutral": 0,
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"stereotype": 1,
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"anti-stereotype": 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": 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": "4.10.2",
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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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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:62e944dd48696d30dc554a6614f37b1e6b740c62e786c7df504d4e550190a6ab
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size 328529005
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runs/Sep13_11-26-56_59fd62c7c141/1631532507.0280204/events.out.tfevents.1631532507.59fd62c7c141.75.1
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runs/Sep13_11-30-08_59fd62c7c141/1631532608.5955467/events.out.tfevents.1631532608.59fd62c7c141.75.3
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version https://git-lfs.github.com/spec/v1
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runs/Sep13_11-30-08_59fd62c7c141/events.out.tfevents.1631532608.59fd62c7c141.75.2
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special_tokens_map.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
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tokenizer_config.json
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{"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": "<mask>", "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "distilroberta-base", "tokenizer_class": "RobertaTokenizer"}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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size 2735
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vocab.json
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