caracena
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initial commit
Browse files- README.md +51 -0
- added_tokens.json +3 -0
- all_results.json +8 -0
- config.json +35 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +9 -0
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- train_results.json +8 -0
- trainer_state.json +2251 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: deberta-clincal-scratch-wl-es
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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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# deberta-clincal-scratch-wl-es
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) 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: 5e-05
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- train_batch_size: 8
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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: 10.0
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### Training results
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### Framework versions
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- Transformers 4.20.0.dev0
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- Pytorch 1.11.0+cu113
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- Datasets 2.2.1
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- Tokenizers 0.12.1
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added_tokens.json
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{
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"[MASK]": 128000
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}
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all_results.json
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{
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"epoch": 10.0,
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"train_loss": 0.4548698722488796,
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"train_runtime": 66289.7119,
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"train_samples": 148685,
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"train_samples_per_second": 22.43,
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"train_steps_per_second": 2.804
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}
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config.json
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{
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"_name_or_path": "microsoft/deberta-v3-base",
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"architectures": [
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"DebertaV2ForMaskedLM"
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],
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"attention_probs_dropout_prob": 0.1,
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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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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"layer_norm_eps": 1e-07,
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"max_position_embeddings": 512,
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"max_relative_positions": -1,
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"model_type": "deberta-v2",
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"norm_rel_ebd": "layer_norm",
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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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"pooler_dropout": 0,
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"pooler_hidden_act": "gelu",
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"pooler_hidden_size": 768,
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"pos_att_type": [
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"p2c",
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"c2p"
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],
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"position_biased_input": false,
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"position_buckets": 256,
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"relative_attention": true,
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"share_att_key": true,
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"torch_dtype": "float32",
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"transformers_version": "4.20.0.dev0",
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"type_vocab_size": 0,
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"vocab_size": 128001
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:6d0484d729ff8d1cd7c7edb5fe05d4b0677dec3962c9214e41ada2f4c6162d70
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size 737975529
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special_tokens_map.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"eos_token": "[SEP]",
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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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spm.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
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size 2464616
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"bos_token": "[CLS]",
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"cls_token": "[CLS]",
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"do_lower_case": false,
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"name_or_path": "microsoft/deberta-v3-base",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"sp_model_kwargs": {},
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"special_tokens_map_file": null,
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"split_by_punct": false,
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"tokenizer_class": "DebertaV2Tokenizer",
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"unk_token": "[UNK]",
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"vocab_type": "spm"
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}
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train_results.json
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{
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"epoch": 10.0,
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"train_loss": 0.4548698722488796,
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"train_runtime": 66289.7119,
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"train_samples": 148685,
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"train_samples_per_second": 22.43,
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"train_steps_per_second": 2.804
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}
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trainer_state.json
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training_args.bin
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