Initial commit from mrm8488
Browse files- README.md +79 -0
- added_tokens.json +1 -0
- all_results.json +14 -0
- config.json +46 -0
- eval_results.json +9 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- spm.model +3 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +802 -0
- training_args.bin +3 -0
README.md
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+
---
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+
language:
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- en
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- glue
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metrics:
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- accuracy
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model-index:
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- name: deberta-v3-large-mnli-2
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: GLUE MNLI
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type: glue
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args: mnli
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8949349064279902
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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-v3-large-mnli-2
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This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the GLUE MNLI dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6763
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- Accuracy: 0.8949
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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: 3e-05
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- train_batch_size: 16
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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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- mixed_precision_training: Native AMP
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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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| 0.3676 | 1.0 | 24544 | 0.3761 | 0.8681 |
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| 0.2782 | 2.0 | 49088 | 0.3605 | 0.8881 |
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| 0.1986 | 3.0 | 73632 | 0.4672 | 0.8894 |
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| 0.1299 | 4.0 | 98176 | 0.5248 | 0.8967 |
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| 0.0643 | 5.0 | 122720 | 0.6489 | 0.8999 |
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### Framework versions
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- Transformers 4.13.0.dev0
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- Pytorch 1.10.0+cu111
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- Datasets 1.16.1
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- Tokenizers 0.10.3
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added_tokens.json
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{"[MASK]": 128000}
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all_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.8949349064279902,
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"eval_loss": 0.6762520670890808,
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"eval_runtime": 67.7704,
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"eval_samples": 9832,
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"eval_samples_per_second": 145.078,
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"eval_steps_per_second": 18.135,
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"train_loss": 0.2137734965519613,
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"train_runtime": 32769.5489,
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"train_samples": 392702,
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"train_samples_per_second": 59.919,
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"train_steps_per_second": 3.745
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}
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config.json
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{
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"_name_or_path": "microsoft/deberta-v3-large",
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"architectures": [
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"DebertaV2ForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"finetuning_task": "mnli",
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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": "entailment",
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"1": "neutral",
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"2": "contradiction"
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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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"contradiction": 2,
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"entailment": 0,
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"neutral": 1
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},
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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": 16,
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"num_hidden_layers": 24,
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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": 1024,
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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": "4.13.0.dev0",
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"type_vocab_size": 0,
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"vocab_size": 128100
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}
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eval_results.json
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{
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"epoch": 5.0,
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"eval_accuracy": 0.8949349064279902,
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"eval_loss": 0.6762520670890808,
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+
"eval_runtime": 67.7704,
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"eval_samples": 9832,
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"eval_samples_per_second": 145.078,
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"eval_steps_per_second": 18.135
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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 sha256:862fb1da1706e5f73d3b814d8791d9f1c62132f1baab9e9a9cadfc01abf04bbf
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+
size 1740426539
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special_tokens_map.json
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{"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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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_config.json
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{"do_lower_case": false, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "split_by_punct": false, "sp_model_kwargs": {}, "vocab_type": "spm", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "microsoft/deberta-v3-large", "tokenizer_class": "DebertaV2Tokenizer"}
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train_results.json
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{
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"epoch": 5.0,
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"train_loss": 0.2137734965519613,
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+
"train_runtime": 32769.5489,
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"train_samples": 392702,
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"train_samples_per_second": 59.919,
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"train_steps_per_second": 3.745
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}
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trainer_state.json
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training_args.bin
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