End of training

README.md

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+---
+license: mit
+base_model: microsoft/deberta-v3-large
+tags:
+- generated_from_trainer
+model-index:
+- name: checkpoints_2
+  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. -->
+
+# checkpoints_2
+
+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: 0.8543
+- Map@3: 0.7167
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 2
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Map@3  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.395         | 0.19  | 25   | 1.3859          | 0.5889 |
+| 1.3803        | 0.37  | 50   | 1.3840          | 0.6958 |
+| 1.3842        | 0.56  | 75   | 1.3314          | 0.7194 |
+| 1.2795        | 0.74  | 100  | 1.0021          | 0.7222 |
+| 0.9662        | 0.93  | 125  | 0.9006          | 0.6597 |
+| 0.9574        | 1.11  | 150  | 0.8355          | 0.6903 |
+| 0.8909        | 1.3   | 175  | 0.8506          | 0.6750 |
+| 0.8077        | 1.48  | 200  | 0.8180          | 0.7125 |
+| 0.955         | 1.67  | 225  | 0.8069          | 0.7097 |
+| 0.8664        | 1.85  | 250  | 0.8186          | 0.7028 |
+| 0.9396        | 2.04  | 275  | 0.8091          | 0.6986 |
+| 0.8141        | 2.22  | 300  | 0.8212          | 0.7083 |
+| 0.7898        | 2.41  | 325  | 0.8531          | 0.7167 |
+| 0.9143        | 2.59  | 350  | 0.8482          | 0.7125 |
+| 0.8861        | 2.78  | 375  | 0.8229          | 0.7083 |
+| 0.8569        | 2.96  | 400  | 0.8372          | 0.7181 |
+| 0.8381        | 3.15  | 425  | 0.8516          | 0.7153 |
+| 0.7671        | 3.33  | 450  | 0.8458          | 0.7167 |
+| 0.8704        | 3.52  | 475  | 0.8651          | 0.7222 |
+| 0.8733        | 3.7   | 500  | 0.8356          | 0.7153 |
+| 0.7309        | 3.89  | 525  | 0.8476          | 0.7181 |
+| 0.7793        | 4.07  | 550  | 0.8566          | 0.7167 |
+| 0.7849        | 4.26  | 575  | 0.8644          | 0.7167 |
+| 0.7776        | 4.44  | 600  | 0.8584          | 0.7167 |
+| 0.7573        | 4.63  | 625  | 0.8546          | 0.7167 |
+| 0.8115        | 4.81  | 650  | 0.8543          | 0.7167 |
+| 0.869         | 5.0   | 675  | 0.8543          | 0.7167 |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.14.1

added_tokens.json

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+{
+  "[MASK]": 128000
+}

config.json

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+{
+  "_name_or_path": "microsoft/deberta-v3-large",
+  "architectures": [
+    "DebertaV2ForMultipleChoice"
+  ],
+  "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": "4.35.0",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
+}

model.safetensors

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+size 1740300340

special_tokens_map.json

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+{
+  "bos_token": "[CLS]",
+  "cls_token": "[CLS]",
+  "eos_token": "[SEP]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": {
+    "content": "[UNK]",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

spm.model

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+size 2464616

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "3": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "128000": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "[CLS]",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": false,
+  "eos_token": "[SEP]",
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "sp_model_kwargs": {},
+  "split_by_punct": false,
+  "tokenizer_class": "DebertaV2Tokenizer",
+  "unk_token": "[UNK]",
+  "vocab_type": "spm"
+}

training_args.bin

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