End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: allenai/led-base-16384
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- bleu
+- precision
+- recall
+- f1
+model-index:
+- name: LED_sum_challenge
+  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. -->
+
+# LED_sum_challenge
+
+This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.5433
+- Rouge1: 0.2187
+- Rouge2: 0.0623
+- Rougel: 0.1668
+- Rougelsum: 0.1667
+- Gen Len: 20.44
+- Bleu: 0.0207
+- Precisions: 0.0758
+- Brevity Penalty: 0.6408
+- Length Ratio: 0.6921
+- Translation Length: 836.0
+- Reference Length: 1208.0
+- Precision: 0.8764
+- Recall: 0.8604
+- F1: 0.8683
+- Hashcode: roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0)
+
+## 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: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 16
+- optimizer: Use OptimizerNames.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: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | Bleu   | Precisions | Brevity Penalty | Length Ratio | Translation Length | Reference Length | Precision | Recall | F1     | Hashcode                                                  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:------:|:----------:|:---------------:|:------------:|:------------------:|:----------------:|:---------:|:------:|:------:|:---------------------------------------------------------:|
+| No log        | 1.0   | 7    | 8.2286          | 0.2197 | 0.0522 | 0.1659 | 0.1664    | 21.0    | 0.0189 | 0.0718     | 0.6574          | 0.7045       | 851.0              | 1208.0           | 0.8675    | 0.8576 | 0.8624 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 2.0   | 14   | 7.2616          | 0.214  | 0.052  | 0.1635 | 0.1643    | 21.0    | 0.0123 | 0.0672     | 0.6563          | 0.7036       | 850.0              | 1208.0           | 0.8696    | 0.8595 | 0.8644 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 3.0   | 21   | 6.2084          | 0.2388 | 0.0663 | 0.182  | 0.1819    | 20.42   | 0.0192 | 0.0832     | 0.6275          | 0.6821       | 824.0              | 1208.0           | 0.8782    | 0.862  | 0.8699 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 4.0   | 28   | 5.5433          | 0.2187 | 0.0623 | 0.1668 | 0.1667    | 20.44   | 0.0207 | 0.0758     | 0.6408          | 0.6921       | 836.0              | 1208.0           | 0.8764    | 0.8604 | 0.8683 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+
+
+### Framework versions
+
+- Transformers 4.53.0
+- Pytorch 2.7.0+cu126
+- Datasets 3.6.0
+- Tokenizers 0.21.1

config.json

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+{
+  "activation_dropout": 0.0,
+  "activation_function": "gelu",
+  "architectures": [
+    "LEDForConditionalGeneration"
+  ],
+  "attention_dropout": 0.0,
+  "attention_window": [
+    1024,
+    1024,
+    1024,
+    1024,
+    1024,
+    1024
+  ],
+  "bos_token_id": 0,
+  "classif_dropout": 0.0,
+  "classifier_dropout": 0.0,
+  "d_model": 768,
+  "decoder_attention_heads": 12,
+  "decoder_ffn_dim": 3072,
+  "decoder_layerdrop": 0.0,
+  "decoder_layers": 6,
+  "decoder_start_token_id": 2,
+  "dropout": 0.1,
+  "encoder_attention_heads": 12,
+  "encoder_ffn_dim": 3072,
+  "encoder_layerdrop": 0.0,
+  "encoder_layers": 6,
+  "eos_token_id": 2,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "init_std": 0.02,
+  "is_encoder_decoder": true,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "max_decoder_position_embeddings": 1024,
+  "max_encoder_position_embeddings": 16384,
+  "model_type": "led",
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "torch_dtype": "float32",
+  "transformers_version": "4.53.0",
+  "use_cache": false,
+  "vocab_size": 50265
+}

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.53.0"
+}

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special_tokens_map.json

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+    "lstrip": false,
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+    "rstrip": false,
+    "single_word": false
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+  "pad_token": {
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+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
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+      "lstrip": false,
+      "normalized": true,
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+  "extra_special_tokens": {},
+  "mask_token": "<mask>",
+  "model_max_length": 16384,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "LEDTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

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