LiYuan199701
commited on
Commit
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Parent(s):
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Add model weights and configurations
Browse filesThis view is limited to 50 files because it contains too many changes.
See raw diff
- README.md +58 -1
- checkpoint-13/config.json +37 -0
- checkpoint-13/optimizer.pt +3 -0
- checkpoint-13/pytorch_model.bin +3 -0
- checkpoint-13/rng_state.pth +3 -0
- checkpoint-13/scheduler.pt +3 -0
- checkpoint-13/special_tokens_map.json +1 -0
- checkpoint-13/tokenizer.json +0 -0
- checkpoint-13/tokenizer_config.json +1 -0
- checkpoint-13/trainer_state.json +25 -0
- checkpoint-13/training_args.bin +3 -0
- checkpoint-13/vocab.txt +0 -0
- checkpoint-26/config.json +37 -0
- checkpoint-26/optimizer.pt +3 -0
- checkpoint-26/pytorch_model.bin +3 -0
- checkpoint-26/rng_state.pth +3 -0
- checkpoint-26/scheduler.pt +3 -0
- checkpoint-26/special_tokens_map.json +1 -0
- checkpoint-26/tokenizer.json +0 -0
- checkpoint-26/tokenizer_config.json +1 -0
- checkpoint-26/trainer_state.json +34 -0
- checkpoint-26/training_args.bin +3 -0
- checkpoint-26/vocab.txt +0 -0
- checkpoint-35702/config.json +37 -0
- checkpoint-35702/optimizer.pt +3 -0
- checkpoint-35702/pytorch_model.bin +3 -0
- checkpoint-35702/rng_state.pth +3 -0
- checkpoint-35702/scheduler.pt +3 -0
- checkpoint-35702/special_tokens_map.json +1 -0
- checkpoint-35702/tokenizer.json +0 -0
- checkpoint-35702/tokenizer_config.json +1 -0
- checkpoint-35702/trainer_state.json +451 -0
- checkpoint-35702/training_args.bin +3 -0
- checkpoint-35702/vocab.txt +0 -0
- checkpoint-71404/config.json +37 -0
- checkpoint-71404/optimizer.pt +3 -0
- checkpoint-71404/pytorch_model.bin +3 -0
- checkpoint-71404/rng_state.pth +3 -0
- checkpoint-71404/scheduler.pt +3 -0
- checkpoint-71404/special_tokens_map.json +1 -0
- checkpoint-71404/tokenizer.json +0 -0
- checkpoint-71404/tokenizer_config.json +1 -0
- checkpoint-71404/trainer_state.json +886 -0
- checkpoint-71404/training_args.bin +3 -0
- checkpoint-71404/vocab.txt +0 -0
- config.json +37 -0
- pytorch_model.bin +3 -0
- runs/Apr27_04-29-22_a457e5c667c8/1651033831.5069559/events.out.tfevents.1651033831.a457e5c667c8.98.1 +3 -0
- runs/Apr27_04-29-22_a457e5c667c8/events.out.tfevents.1651033831.a457e5c667c8.98.0 +3 -0
- runs/Apr27_04-29-22_a457e5c667c8/events.out.tfevents.1651033873.a457e5c667c8.98.2 +3 -0
README.md
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---
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license:
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---
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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: distilbert-base-uncased-finetuned-mnli
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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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# distilbert-base-uncased-finetuned-mnli
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.8244
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- Accuracy: 0.6617
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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: 2
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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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| 0.8981 | 1.0 | 35702 | 0.8662 | 0.6371 |
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| 0.7837 | 2.0 | 71404 | 0.8244 | 0.6617 |
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### Framework versions
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- Transformers 4.18.0
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- Pytorch 1.11.0+cu113
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- Datasets 2.1.0
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- Tokenizers 0.12.1
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checkpoint-13/config.json
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{
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"_name_or_path": "distilbert-base-uncased",
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"dropout": 0.1,
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"hidden_dim": 3072,
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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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"3": "LABEL_3"
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},
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"initializer_range": 0.02,
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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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"LABEL_3": 3
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.18.0",
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"vocab_size": 30522
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}
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checkpoint-13/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 535712225
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checkpoint-13/pytorch_model.bin
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checkpoint-13/rng_state.pth
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checkpoint-13/scheduler.pt
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checkpoint-13/special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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checkpoint-13/tokenizer.json
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checkpoint-13/tokenizer_config.json
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{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "distilbert-base-uncased", "tokenizer_class": "DistilBertTokenizer"}
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checkpoint-13/trainer_state.json
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{
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"best_metric": 0.43,
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"best_model_checkpoint": "distilbert-base-uncased-finetuned-mnli/checkpoint-13",
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"epoch": 1.0,
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"global_step": 13,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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"step": 13
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}
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"max_steps": 26,
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}
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checkpoint-13/training_args.bin
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checkpoint-13/vocab.txt
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checkpoint-26/config.json
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{
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"_name_or_path": "distilbert-base-uncased",
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"activation": "gelu",
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"architectures": [
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"DistilBertForSequenceClassification"
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],
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"attention_dropout": 0.1,
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"dim": 768,
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"hidden_dim": 3072,
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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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"3": "LABEL_3"
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},
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"LABEL_3": 3
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},
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"max_position_embeddings": 512,
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"model_type": "distilbert",
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"n_heads": 12,
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"n_layers": 6,
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"pad_token_id": 0,
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"problem_type": "single_label_classification",
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"qa_dropout": 0.1,
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"seq_classif_dropout": 0.2,
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"sinusoidal_pos_embds": false,
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"tie_weights_": true,
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"torch_dtype": "float32",
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"transformers_version": "4.18.0",
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"vocab_size": 30522
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}
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checkpoint-26/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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checkpoint-26/pytorch_model.bin
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checkpoint-26/rng_state.pth
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checkpoint-26/scheduler.pt
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checkpoint-26/special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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checkpoint-26/tokenizer.json
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checkpoint-26/tokenizer_config.json
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{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "distilbert-base-uncased", "tokenizer_class": "DistilBertTokenizer"}
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checkpoint-26/trainer_state.json
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{
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"best_metric": 0.43,
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"best_model_checkpoint": "distilbert-base-uncased-finetuned-mnli/checkpoint-13",
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"epoch": 2.0,
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"global_step": 26,
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"is_hyper_param_search": false,
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"step": 26
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}
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],
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}
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checkpoint-26/training_args.bin
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