Upload 13 files
Browse files- README.md +53 -3
- added_tokens.json +3 -0
- all_results.json +8 -0
- config.json +28 -0
- model.safetensors +3 -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 +991 -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: DeB3RTa_3
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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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# DeB3RTa_3
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This model is a fine-tuned version of [](https://huggingface.co/) 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: 0.0001
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- train_batch_size: 192
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 1536
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.01
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- num_epochs: 50.0
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### Training results
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### Framework versions
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- Transformers 4.30.2
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- Pytorch 2.2.0+cu121
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- Datasets 2.13.1
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- Tokenizers 0.13.3
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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": 50.0,
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"train_loss": 0.005664803918222426,
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"train_runtime": 6206.924,
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"train_samples": 2477405,
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"train_samples_per_second": 19956.785,
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"train_steps_per_second": 12.994
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}
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config.json
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{
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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": 1536,
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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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"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": 1536,
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"pos_att_type": null,
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"position_biased_input": true,
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"relative_attention": false,
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"torch_dtype": "float32",
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"transformers_version": "4.30.2",
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"type_vocab_size": 0,
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"vocab_size": 128100
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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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oid sha256:cdea08c94f1b19046bb4f3a97813eeda9a7ca770e5c04724bf7579f59bd4dd7a
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size 283856744
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7a7dca4775e0a7d7bd45b7f3b63f967cf06b0d59a20c95a1d97831b083e0b71f
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size 1707027634
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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 sha256:5598d5e96f339a8d980c15f9afd405a2e5e1be7db41de3ed13b0f03fac1e8c17
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size 2447305
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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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"clean_up_tokenization_spaces": true,
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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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"model_max_length": 512,
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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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"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": 50.0,
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"train_loss": 0.005664803918222426,
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"train_runtime": 6206.924,
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"train_samples": 2477405,
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"train_samples_per_second": 19956.785,
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"train_steps_per_second": 12.994
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}
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trainer_state.json
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training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
|
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|
|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:522564bf2d4d448e2bf363445b46c741db75b064eb272f118aceac2361d2c6ae
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| 3 |
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size 4408
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