End of training
Browse files- README.md +46 -0
- config.json +38 -0
- model.safetensors +3 -0
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +56 -0
- tokenizer.json +0 -0
- tokenizer_config.json +91 -0
- trainer_state.json +28 -0
- training_args.bin +3 -0
README.md
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---
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tags:
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- generated_from_trainer
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model-index:
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- name: WangchanBERTa
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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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# WangchanBERTa
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This model was trained from scratch 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: 48
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- eval_batch_size: 48
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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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### Framework versions
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- Transformers 4.40.1
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- Pytorch 2.2.1+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "models/sentiment_analysis/checkpoint-806",
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"architectures": [
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"CamembertForSequenceClassification"
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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": "no_depression",
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"1": "depression"
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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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"depression": 1,
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"no_depression": 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": "camembert",
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"num_attention_head": 12,
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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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"torch_dtype": "float32",
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"transformers_version": "4.40.1",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 25005
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 421007928
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ad21aadf7f4e6a13cfc7defdeb8a571e2d7dd90d1d56a85853992e7889fd6ae9
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size 842141946
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:1efbe409604dcbe4e8d506b7b860fa73146535d1474ce1a58e78e6a2d0dad617
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size 14244
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8f53e7f99be3b5c425b45b09953475548e9acc667202094cfd28191fa51f9fcb
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size 1064
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sentencepiece.bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:49c4ba4e495ddf31eb2fdba7fc6aef3c233091d25d35bc9d24694ccf48ae114c
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size 904693
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<s>NOTUSED",
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"</s>NOTUSED",
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"<_>"
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],
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"bos_token": {
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"content": "<s>",
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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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"sep_token": {
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"lstrip": false,
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}
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}
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tokenizer.json
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See raw diff
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tokenizer_config.json
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{
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},
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},
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}
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},
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"</s>NOTUSED",
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"<_>"
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],
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"max_length": 510,
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"padding_side": "right",
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"sep_token": "</s>",
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"sp_model_kwargs": {},
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"stride": 0,
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"tokenizer_class": "CamembertTokenizer",
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"truncation_side": "right",
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"unk_token": "<unk>"
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}
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 2.0,
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"eval_steps": 500,
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"global_step": 806,
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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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{
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"learning_rate": 1.5037220843672458e-05,
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"step": 500
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}
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],
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"logging_steps": 500,
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"max_steps": 2015,
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"num_input_tokens_seen": 0,
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"train_batch_size": 48,
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"trial_name": null,
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"trial_params": null
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}
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training_args.bin
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:14dc2fe4869530c404f2499ab03c63fa9c2a06f37926ecf81d635acc3d1a2bbb
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size 5112
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