Training in progress, step 500

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: bert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: test-trainer
+  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. -->
+
+# test-trainer
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7231
+
+## 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: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- training_steps: 1377
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| No log        | 0.1089 | 50   | 0.6239          |
+| 0.6217        | 0.2179 | 100  | 0.4896          |
+| 0.6217        | 0.3268 | 150  | 0.5328          |
+| 0.5504        | 0.4357 | 200  | 0.4521          |
+| 0.5504        | 0.5447 | 250  | 0.4645          |
+| 0.4763        | 0.6536 | 300  | 0.4372          |
+| 0.4763        | 0.7625 | 350  | 0.4010          |
+| 0.4789        | 0.8715 | 400  | 0.5929          |
+| 0.4789        | 0.9804 | 450  | 0.3999          |
+| 0.4061        | 1.0893 | 500  | 0.4420          |
+| 0.4061        | 1.1983 | 550  | 0.6670          |
+| 0.3201        | 1.3072 | 600  | 0.5895          |
+| 0.3201        | 1.4161 | 650  | 0.5257          |
+| 0.3576        | 1.5251 | 700  | 0.4256          |
+| 0.3576        | 1.6340 | 750  | 0.4559          |
+| 0.3111        | 1.7429 | 800  | 0.6259          |
+| 0.3111        | 1.8519 | 850  | 0.5151          |
+| 0.348         | 1.9608 | 900  | 0.4774          |
+| 0.348         | 2.0697 | 950  | 0.5877          |
+| 0.1772        | 2.1786 | 1000 | 0.5795          |
+| 0.1772        | 2.2876 | 1050 | 0.6874          |
+| 0.122         | 2.3965 | 1100 | 0.7354          |
+| 0.122         | 2.5054 | 1150 | 0.7051          |
+| 0.1287        | 2.6144 | 1200 | 0.7774          |
+| 0.1287        | 2.7233 | 1250 | 0.6771          |
+| 0.1534        | 2.8322 | 1300 | 0.6675          |
+| 0.1534        | 2.9412 | 1350 | 0.7231          |
+
+
+### Framework versions
+
+- Transformers 4.55.4
+- Pytorch 2.7.1
+- Datasets 4.0.0
+- Tokenizers 0.21.4

config.json

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+{
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.55.4",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d976f31c49731162c985b9c661436e85d118d269f70e98280b83e162dcd2a5cb
+size 437958648

special_tokens_map.json

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

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": false,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "extra_special_tokens": {},
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "BertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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+oid sha256:71e90239617394d9fa20277cec5259a1cdbac9bef787fec059a5b9d92df8a9c8
+size 5713