Training in progress, step 500

README.md

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+---
+license: mit
+base_model: microsoft/deberta-v3-small
+tags:
+- generated_from_trainer
+model-index:
+- name: deberta-v3-small-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-small-kaggle-mlm
+
+This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6169
+
+## 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: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss |
+|:-------------:|:-----:|:------:|:---------------:|
+| 3.0931        | 1.0   | 6848   | 2.8467          |
+| 2.6186        | 2.0   | 13696  | 2.4089          |
+| 2.3498        | 3.0   | 20544  | 2.2224          |
+| 2.2399        | 4.0   | 27392  | 2.1105          |
+| 2.1226        | 5.0   | 34240  | 2.0204          |
+| 2.0768        | 6.0   | 41088  | 1.9402          |
+| 2.0251        | 7.0   | 47936  | 1.8767          |
+| 1.9587        | 8.0   | 54784  | 1.8527          |
+| 1.9209        | 9.0   | 61632  | 1.8108          |
+| 1.8829        | 10.0  | 68480  | 1.8113          |
+| 1.8454        | 11.0  | 75328  | 1.7698          |
+| 1.8077        | 12.0  | 82176  | 1.7504          |
+| 1.7991        | 13.0  | 89024  | 1.7390          |
+| 1.7896        | 14.0  | 95872  | 1.7138          |
+| 1.7608        | 15.0  | 102720 | 1.6847          |
+| 1.7636        | 16.0  | 109568 | 1.6863          |
+| 1.7416        | 17.0  | 116416 | 1.6816          |
+| 1.7363        | 18.0  | 123264 | 1.6651          |
+| 1.7013        | 19.0  | 130112 | 1.6465          |
+| 1.6828        | 20.0  | 136960 | 1.6528          |
+| 1.6889        | 21.0  | 143808 | 1.6406          |
+| 1.6882        | 22.0  | 150656 | 1.6358          |
+| 1.6742        | 23.0  | 157504 | 1.6338          |
+| 1.6657        | 24.0  | 164352 | 1.6062          |
+| 1.6685        | 25.0  | 171200 | 1.6086          |
+| 1.6701        | 26.0  | 178048 | 1.6256          |
+| 1.6755        | 27.0  | 184896 | 1.6186          |
+| 1.6505        | 28.0  | 191744 | 1.6013          |
+| 1.6573        | 29.0  | 198592 | 1.6108          |
+| 1.6497        | 30.0  | 205440 | 1.6009          |
+
+
+### 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-large",
+  "architectures": [
+    "DebertaV2ForMaskedLM"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 1024,
+  "initializer_range": 0.02,
+  "intermediate_size": 4096,
+  "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": 16,
+  "num_hidden_layers": 24,
+  "pad_token_id": 0,
+  "pooler_dropout": 0,
+  "pooler_hidden_act": "gelu",
+  "pooler_hidden_size": 1024,
+  "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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