Saving model gmra_distilbert/distilbert-base-uncased-distilled-squad_07112024T113312

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased-distilled-squad
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: distilbert-base-uncased-distilled-squad_07112024T113312
+  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. -->
+
+# distilbert-base-uncased-distilled-squad_07112024T113312
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased-distilled-squad](https://huggingface.co/distilbert/distilbert-base-uncased-distilled-squad) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8186
+- F1: 0.7804
+- Learning Rate: 0.0
+
+## 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
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Rate   |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| No log        | 1.0   | 121  | 1.1959          | 0.5325 | 0.0000 |
+| No log        | 2.0   | 242  | 1.0212          | 0.6350 | 0.0000 |
+| No log        | 3.0   | 363  | 0.9424          | 0.6796 | 0.0000 |
+| No log        | 4.0   | 484  | 0.8570          | 0.7203 | 0.0000 |
+| 1.0311        | 5.0   | 605  | 0.8567          | 0.7359 | 0.0000 |
+| 1.0311        | 6.0   | 726  | 0.8271          | 0.7530 | 0.0000 |
+| 1.0311        | 7.0   | 847  | 0.8387          | 0.7629 | 0.0000 |
+| 1.0311        | 8.0   | 968  | 0.8491          | 0.7690 | 0.0000 |
+| 0.4626        | 9.0   | 1089 | 0.7954          | 0.7809 | 2e-06  |
+| 0.4626        | 10.0  | 1210 | 0.8186          | 0.7804 | 0.0    |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "distilbert/distilbert-base-uncased-distilled-squad",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "change_request",
+    "1": "discussion_participation",
+    "2": "discussion_trigger",
+    "3": "acknowledgement",
+    "4": "critical",
+    "5": "reference"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "acknowledgement": 3,
+    "change_request": 0,
+    "critical": 4,
+    "discussion_participation": 1,
+    "discussion_trigger": 2,
+    "reference": 5
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.44.2",
+  "vocab_size": 30522
+}

model.safetensors

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runs/Nov07_06-03-12_4e102b0d102a/events.out.tfevents.1730959409.4e102b0d102a.233.0

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special_tokens_map.json

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

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
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+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
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+      "special": true
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+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 512,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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