End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: albert-base-v2
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: cf-albert-finetuned1
+  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. -->
+
+# cf-albert-finetuned1
+
+This model is a fine-tuned version of [albert-base-v2](https://huggingface.co/albert-base-v2) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4513
+- F1: 0.2897
+- Roc Auc: 0.5790
+- Accuracy: 0.0826
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.4712        | 1.0   | 908  | 0.4797          | 0.0104 | 0.5024  | 0.0055   |
+| 0.4862        | 2.0   | 1816 | 0.4579          | 0.2726 | 0.5727  | 0.0936   |
+| 0.4447        | 3.0   | 2724 | 0.4438          | 0.3161 | 0.5899  | 0.1101   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1+cu121
+- Datasets 3.1.0
+- Tokenizers 0.20.3

config.json

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+{
+  "_name_or_path": "albert-base-v2",
+  "architectures": [
+    "AlbertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0,
+  "bos_token_id": 2,
+  "classifier_dropout_prob": 0.1,
+  "down_scale_factor": 1,
+  "embedding_size": 128,
+  "eos_token_id": 3,
+  "gap_size": 0,
+  "hidden_act": "gelu_new",
+  "hidden_dropout_prob": 0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "math",
+    "1": "greedy",
+    "2": "implementation",
+    "3": "dp",
+    "4": "data structures",
+    "5": "constructive algorithms",
+    "6": "brute force",
+    "7": "binary search",
+    "8": "sortings",
+    "9": "graphs"
+  },
+  "initializer_range": 0.02,
+  "inner_group_num": 1,
+  "intermediate_size": 3072,
+  "label2id": {
+    "binary search": 7,
+    "brute force": 6,
+    "constructive algorithms": 5,
+    "data structures": 4,
+    "dp": 3,
+    "graphs": 9,
+    "greedy": 1,
+    "implementation": 2,
+    "math": 0,
+    "sortings": 8
+  },
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "albert",
+  "net_structure_type": 0,
+  "num_attention_heads": 12,
+  "num_hidden_groups": 1,
+  "num_hidden_layers": 12,
+  "num_memory_blocks": 0,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "problem_type": "multi_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.2",
+  "type_vocab_size": 2,
+  "vocab_size": 30000
+}

model.safetensors

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runs/Dec04_07-35-42_260048d065dc/events.out.tfevents.1733297743.260048d065dc.17327.0

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special_tokens_map.json

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tokenizer_config.json

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+}

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