Upload fine-tuned model

config.json

@@ -0,0 +1,24 @@
+{
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 128,
+  "initializer_range": 0.02,
+  "intermediate_size": 512,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 2,
+  "num_hidden_layers": 2,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "transformers_version": "4.56.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

evaluation_validation_wnli.json

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+{
+  "task": "wnli",
+  "split": "validation",
+  "model_path": "/home/ubuntu/master-research/not-trust-quivalent/models/wnli/prajjwal1-bert-tiny",
+  "metrics": {
+    "accuracy": 0.5633802816901409
+  },
+  "loss": 0.6922902266184489,
+  "total_examples": 71,
+  "evaluation_time": 0.4282684326171875
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:b91271eb1ba82a64ca623240aa7562fec6560338ed2ec6d8f6732833d0284a62
+size 17549312

special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

summary.txt

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+=======================================
+Model Training Summary
+=======================================
+Model: prajjwal1/bert-tiny
+Task: wnli
+Training Date: Sat Sep  6 02:53:11 PM JST 2025
+
+Hyperparameters:
+- Epochs: 5
+- Batch Size: 32
+- Learning Rate: 2e-5
+- Warmup Steps: 200
+- Weight Decay: 0.01
+- Max Sequence Length: 128
+
+Training Status: SUCCESS
+Job: 15/15
+
+Model Directory: /home/ubuntu/master-research/not-trust-quivalent/models/wnli/prajjwal1-bert-tiny
+Script Path: /home/ubuntu/master-research/not-trust-quivalent/src/finetune/train.py
+Output Directory: /home/ubuntu/master-research/not-trust-quivalent/models
+
+=======================================

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "102": {
+      "content": "[SEP]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "103": {
+      "content": "[MASK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_basic_tokenize": true,
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "never_split": null,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_summary.txt

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+Task: wnli
+Model: prajjwal1/bert-tiny
+Epochs: 5
+Best val_loss: 0.6942809224128723
+Best checkpoint: /home/ubuntu/master-research/not-trust-quivalent/models/checkpoints/wnli-best-00-0.6943.ckpt
+Training completed at: 2025-09-06 14:53:07.500323