Elkelouizajo
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- README.md +52 -0
- all_results.json +8 -0
- checkpoint-1000/config.json +42 -0
- checkpoint-1000/model.safetensors +3 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/rng_state.pth +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/special_tokens_map.json +7 -0
- checkpoint-1000/tokenizer.json +0 -0
- checkpoint-1000/tokenizer_config.json +55 -0
- checkpoint-1000/trainer_state.json +35 -0
- checkpoint-1000/training_args.bin +3 -0
- checkpoint-1000/vocab.txt +0 -0
- checkpoint-1500/config.json +42 -0
- checkpoint-1500/model.safetensors +3 -0
- checkpoint-1500/optimizer.pt +3 -0
- checkpoint-1500/rng_state.pth +3 -0
- checkpoint-1500/scheduler.pt +3 -0
- checkpoint-1500/special_tokens_map.json +7 -0
- checkpoint-1500/tokenizer.json +0 -0
- checkpoint-1500/tokenizer_config.json +55 -0
- checkpoint-1500/trainer_state.json +42 -0
- checkpoint-1500/training_args.bin +3 -0
- checkpoint-1500/vocab.txt +0 -0
- checkpoint-2000/config.json +42 -0
- checkpoint-2000/model.safetensors +3 -0
- checkpoint-2000/optimizer.pt +3 -0
- checkpoint-2000/rng_state.pth +3 -0
- checkpoint-2000/scheduler.pt +3 -0
- checkpoint-2000/special_tokens_map.json +7 -0
- checkpoint-2000/tokenizer.json +0 -0
- checkpoint-2000/tokenizer_config.json +55 -0
- checkpoint-2000/trainer_state.json +49 -0
- checkpoint-2000/training_args.bin +3 -0
- checkpoint-2000/vocab.txt +0 -0
- checkpoint-2500/config.json +42 -0
- checkpoint-2500/model.safetensors +3 -0
- checkpoint-2500/optimizer.pt +3 -0
- checkpoint-2500/rng_state.pth +3 -0
- checkpoint-2500/scheduler.pt +3 -0
- checkpoint-2500/special_tokens_map.json +7 -0
- checkpoint-2500/tokenizer.json +0 -0
- checkpoint-2500/tokenizer_config.json +55 -0
- checkpoint-2500/trainer_state.json +56 -0
- checkpoint-2500/training_args.bin +3 -0
- checkpoint-2500/vocab.txt +0 -0
- checkpoint-500/config.json +42 -0
- checkpoint-500/model.safetensors +3 -0
- checkpoint-500/optimizer.pt +3 -0
- checkpoint-500/rng_state.pth +3 -0
README.md
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---
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license: apache-2.0
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base_model: google-bert/bert-large-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: results_4K
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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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# results_4K
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This model is a fine-tuned version of [google-bert/bert-large-cased](https://huggingface.co/google-bert/bert-large-cased) on an unknown dataset.
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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: 8
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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: 5.0
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### Training results
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### Framework versions
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- Transformers 4.39.0.dev0
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- Pytorch 2.1.2.post103
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- Datasets 2.19.1.dev0
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- Tokenizers 0.15.2
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all_results.json
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{
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"epoch": 5.0,
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"train_loss": 0.27893603820800783,
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"train_runtime": 3930.0353,
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"train_samples": 4000,
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"train_samples_per_second": 5.089,
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"train_steps_per_second": 0.636
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}
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checkpoint-1000/config.json
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{
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"_name_or_path": "google-bert/bert-large-cased",
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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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"directionality": "bidi",
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"finetuning_task": "text-classification",
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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": 1024,
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"id2label": {
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"0": "0",
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"1": "1"
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},
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"initializer_range": 0.02,
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"intermediate_size": 4096,
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"label2id": {
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"0": 0,
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"1": 1
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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": 16,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"pooler_fc_size": 768,
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"pooler_num_attention_heads": 12,
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"pooler_num_fc_layers": 3,
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"pooler_size_per_head": 128,
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"pooler_type": "first_token_transform",
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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": "4.39.0.dev0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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}
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checkpoint-1000/model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1334372264
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checkpoint-1000/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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size 2668968429
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checkpoint-1000/rng_state.pth
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size 13990
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checkpoint-1000/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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size 1064
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checkpoint-1000/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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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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checkpoint-1000/tokenizer.json
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checkpoint-1000/tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"100": {
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"single_word": false,
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"special": true
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}
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},
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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checkpoint-1000/trainer_state.json
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{
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"best_metric": null,
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"epoch": 2.0,
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"eval_steps": 500,
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"log_history": [
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],
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"max_steps": 2500,
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"num_input_tokens_seen": 0,
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}
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checkpoint-1000/training_args.bin
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checkpoint-1000/vocab.txt
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checkpoint-1500/config.json
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{
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"_name_or_path": "google-bert/bert-large-cased",
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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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"1": "1"
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},
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},
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"model_type": "bert",
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}
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checkpoint-1500/model.safetensors
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version https://git-lfs.github.com/spec/v1
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checkpoint-1500/optimizer.pt
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