Training in progress, step 500
Browse files- README.md +82 -0
- config.json +35 -0
- model.safetensors +3 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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base_model: microsoft/deberta-v3-large
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tags:
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- generated_from_trainer
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model-index:
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- name: deberta-v3-large-kaggle-mlm
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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-v3-large-kaggle-mlm
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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 None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3182
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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: 1e-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: 25
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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 |
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|:-------------:|:-----:|:------:|:---------------:|
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| 3.1114 | 1.0 | 6848 | 2.6616 |
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| 2.2122 | 2.0 | 13696 | 1.9734 |
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| 2.0848 | 3.0 | 20544 | 1.9930 |
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| 1.8056 | 4.0 | 27392 | 1.7167 |
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| 1.7003 | 5.0 | 34240 | 1.8419 |
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| 1.6414 | 6.0 | 41088 | 1.5828 |
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| 1.583 | 7.0 | 47936 | 1.5298 |
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| 1.5245 | 8.0 | 54784 | 1.4964 |
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| 1.491 | 9.0 | 61632 | 1.4671 |
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| 1.4662 | 10.0 | 68480 | 1.4805 |
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| 1.426 | 11.0 | 75328 | 1.4506 |
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| 1.3924 | 12.0 | 82176 | 1.4272 |
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| 1.3797 | 13.0 | 89024 | 1.4092 |
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| 1.3713 | 14.0 | 95872 | 1.3947 |
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| 1.3444 | 15.0 | 102720 | 1.3765 |
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| 1.3414 | 16.0 | 109568 | 1.3636 |
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| 1.3256 | 17.0 | 116416 | 1.3700 |
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| 1.3084 | 18.0 | 123264 | 1.3607 |
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| 1.2925 | 19.0 | 130112 | 1.3428 |
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| 1.2615 | 20.0 | 136960 | 1.3483 |
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| 1.2733 | 21.0 | 143808 | 1.3440 |
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| 1.2809 | 22.0 | 150656 | 1.3314 |
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| 1.2576 | 23.0 | 157504 | 1.3388 |
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| 1.2606 | 24.0 | 164352 | 1.3126 |
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| 1.2608 | 25.0 | 171200 | 1.3211 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.1+cu121
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- Datasets 2.19.2
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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": "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": "4.41.2",
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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 sha256:23b0ee1ec754ff4a7e8047f558918e63fbf7431b2b65d641fd36dc0dd6bd8ca2
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size 738231856
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:cf8d1b122282bb60ec76510c7b1b6efa373995b84e8d246d750258db17b3aae6
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size 5112
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