End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert/distilroberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- rouge
+model-index:
+- name: 362e4d5a67883f49d2ade090ba3d8ff8
+  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. -->
+
+# 362e4d5a67883f49d2ade090ba3d8ff8
+
+This model is a fine-tuned version of [distilbert/distilroberta-base](https://huggingface.co/distilbert/distilroberta-base) on the nyu-mll/glue [qnli] dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4695
+- Data Size: 1.0
+- Epoch Runtime: 132.6341
+- Accuracy: 0.8840
+- F1 Macro: 0.8840
+- Rouge1: 0.8841
+- Rouge2: 0.0
+- Rougel: 0.8842
+- Rougelsum: 0.8839
+
+## 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     | 0.7056          | 0         | 2.8677        | 0.4943   | 0.3308   | 0.4947 | 0.0    | 0.4943 | 0.4944    |
+| No log        | 1     | 3273  | 0.6287          | 0.0078    | 4.1048        | 0.7654   | 0.7654   | 0.7651 | 0.0    | 0.7654 | 0.7653    |
+| 0.0101        | 2     | 6546  | 0.4770          | 0.0156    | 4.9946        | 0.7925   | 0.7898   | 0.7925 | 0.0    | 0.7923 | 0.7921    |
+| 0.5026        | 3     | 9819  | 0.3873          | 0.0312    | 7.0555        | 0.8290   | 0.8290   | 0.8289 | 0.0    | 0.8290 | 0.8289    |
+| 0.4632        | 4     | 13092 | 0.3882          | 0.0625    | 11.1039       | 0.8279   | 0.8276   | 0.8278 | 0.0    | 0.8279 | 0.8279    |
+| 0.3886        | 5     | 16365 | 0.3644          | 0.125     | 19.3711       | 0.8463   | 0.8462   | 0.8461 | 0.0    | 0.8467 | 0.8460    |
+| 0.3884        | 6     | 19638 | 0.3288          | 0.25      | 34.8811       | 0.8673   | 0.8673   | 0.8673 | 0.0    | 0.8675 | 0.8675    |
+| 0.3411        | 7     | 22911 | 0.3233          | 0.5       | 66.3942       | 0.8695   | 0.8691   | 0.8693 | 0.0    | 0.8699 | 0.8695    |
+| 0.3165        | 8.0   | 26184 | 0.2982          | 1.0       | 132.4479      | 0.8857   | 0.8857   | 0.8857 | 0.0    | 0.8858 | 0.8855    |
+| 0.2251        | 9.0   | 29457 | 0.3222          | 1.0       | 133.4428      | 0.8869   | 0.8869   | 0.8869 | 0.0    | 0.8873 | 0.8869    |
+| 0.1863        | 10.0  | 32730 | 0.3859          | 1.0       | 129.6657      | 0.8800   | 0.8797   | 0.8800 | 0.0    | 0.8800 | 0.8801    |
+| 0.1468        | 11.0  | 36003 | 0.3707          | 1.0       | 130.5390      | 0.8846   | 0.8845   | 0.8846 | 0.0    | 0.8847 | 0.8844    |
+| 0.1151        | 12.0  | 39276 | 0.4695          | 1.0       | 132.6341      | 0.8840   | 0.8840   | 0.8841 | 0.0    | 0.8842 | 0.8839    |
+
+
+### Framework versions
+
+- Transformers 4.57.0
+- Pytorch 2.8.0+cu128
+- Datasets 4.3.0
+- Tokenizers 0.22.1

config.json

@@ -0,0 +1,27 @@
+{
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "eos_token_id": 2,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.57.0",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
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+size 328492280

special_tokens_map.json

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+{
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<pad>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "50264": {
+      "content": "<mask>",
+      "lstrip": true,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "RobertaTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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+size 5969