End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert/distilbert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- rouge
+model-index:
+- name: 2bb2f3e7c38d6cf1d8e89d18ccbccd4e
+  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. -->
+
+# 2bb2f3e7c38d6cf1d8e89d18ccbccd4e
+
+This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on the nyu-mll/glue [wnli] dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6973
+- Data Size: 1.0
+- Epoch Runtime: 1.6982
+- Accuracy: 0.5469
+- F1 Macro: 0.3535
+- Rouge1: 0.5469
+- Rouge2: 0.0
+- Rougel: 0.5469
+- Rougelsum: 0.5469
+
+## 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
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: constant
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Accuracy | F1 Macro | Rouge1 | Rouge2 | Rougel | Rougelsum |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------------:|:--------:|:--------:|:------:|:------:|:------:|:---------:|
+| No log        | 0     | 0    | 0.6897          | 0         | 0.6489        | 0.5469   | 0.3535   | 0.5469 | 0.0    | 0.5469 | 0.5469    |
+| No log        | 1     | 19   | 0.6997          | 0.0078    | 1.1558        | 0.4375   | 0.3043   | 0.4375 | 0.0    | 0.4375 | 0.4375    |
+| No log        | 2     | 38   | 0.7112          | 0.0156    | 0.7939        | 0.4375   | 0.3043   | 0.4375 | 0.0    | 0.4375 | 0.4375    |
+| No log        | 3     | 57   | 0.7045          | 0.0312    | 0.9932        | 0.4375   | 0.3043   | 0.4375 | 0.0    | 0.4375 | 0.4375    |
+| No log        | 4     | 76   | 0.6941          | 0.0625    | 1.2120        | 0.5625   | 0.5466   | 0.5625 | 0.0    | 0.5625 | 0.5625    |
+| No log        | 5     | 95   | 0.6876          | 0.125     | 1.1413        | 0.5469   | 0.3535   | 0.5469 | 0.0    | 0.5469 | 0.5469    |
+| 0.0797        | 6     | 114  | 0.6893          | 0.25      | 1.1250        | 0.5469   | 0.3535   | 0.5469 | 0.0    | 0.5469 | 0.5469    |
+| 0.0797        | 7     | 133  | 0.7031          | 0.5       | 1.2516        | 0.4531   | 0.3347   | 0.4531 | 0.0    | 0.4531 | 0.4531    |
+| 0.5228        | 8.0   | 152  | 0.6982          | 1.0       | 1.6864        | 0.5469   | 0.3828   | 0.5469 | 0.0    | 0.5469 | 0.5469    |
+| 0.5228        | 9.0   | 171  | 0.6973          | 1.0       | 1.6982        | 0.5469   | 0.3535   | 0.5469 | 0.0    | 0.5469 | 0.5469    |
+
+
+### Framework versions
+
+- Transformers 4.57.0
+- Pytorch 2.8.0+cu128
+- Datasets 4.3.0
+- Tokenizers 0.22.1

config.json

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+{
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "dtype": "float32",
+  "hidden_dim": 3072,
+  "initializer_range": 0.02,
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "output_past": true,
+  "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,
+  "transformers_version": "4.57.0",
+  "vocab_size": 119547
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a41b779c3c366982232b9d066427471d8ccd4e25ce7bb4870de0d4f6cfde87c2
+size 541317368

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": false,
+  "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": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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