Training in progress, step 500

README.md

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+---
+license: mit
+base_model: microsoft/deberta-v3-large
+tags:
+- generated_from_trainer
+model-index:
+- name: deberta-v3-large-kaggle-mlm
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# deberta-v3-large-kaggle-mlm
+
+This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3182
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 25
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss |
+|:-------------:|:-----:|:------:|:---------------:|
+| 3.1114        | 1.0   | 6848   | 2.6616          |
+| 2.2122        | 2.0   | 13696  | 1.9734          |
+| 2.0848        | 3.0   | 20544  | 1.9930          |
+| 1.8056        | 4.0   | 27392  | 1.7167          |
+| 1.7003        | 5.0   | 34240  | 1.8419          |
+| 1.6414        | 6.0   | 41088  | 1.5828          |
+| 1.583         | 7.0   | 47936  | 1.5298          |
+| 1.5245        | 8.0   | 54784  | 1.4964          |
+| 1.491         | 9.0   | 61632  | 1.4671          |
+| 1.4662        | 10.0  | 68480  | 1.4805          |
+| 1.426         | 11.0  | 75328  | 1.4506          |
+| 1.3924        | 12.0  | 82176  | 1.4272          |
+| 1.3797        | 13.0  | 89024  | 1.4092          |
+| 1.3713        | 14.0  | 95872  | 1.3947          |
+| 1.3444        | 15.0  | 102720 | 1.3765          |
+| 1.3414        | 16.0  | 109568 | 1.3636          |
+| 1.3256        | 17.0  | 116416 | 1.3700          |
+| 1.3084        | 18.0  | 123264 | 1.3607          |
+| 1.2925        | 19.0  | 130112 | 1.3428          |
+| 1.2615        | 20.0  | 136960 | 1.3483          |
+| 1.2733        | 21.0  | 143808 | 1.3440          |
+| 1.2809        | 22.0  | 150656 | 1.3314          |
+| 1.2576        | 23.0  | 157504 | 1.3388          |
+| 1.2606        | 24.0  | 164352 | 1.3126          |
+| 1.2608        | 25.0  | 171200 | 1.3211          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "microsoft/deberta-v3-base",
+  "architectures": [
+    "DebertaV2ForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-07,
+  "max_position_embeddings": 512,
+  "max_relative_positions": -1,
+  "model_type": "deberta-v2",
+  "norm_rel_ebd": "layer_norm",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 768,
+  "pos_att_type": [
+    "p2c",
+    "c2p"
+  ],
+  "position_biased_input": false,
+  "position_buckets": 256,
+  "relative_attention": true,
+  "share_att_key": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.2",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

model.safetensors

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training_args.bin

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