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: LEDv3_ACLsum_all_aspects
+  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. -->
+
+# LEDv3_ACLsum_all_aspects
+
+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: 2.8523
+- Rouge1: 0.306
+- Rouge2: 0.1081
+- Rougel: 0.2447
+- Rougelsum: 0.2447
+- Gen Len: 20.8533
+- Bleu: 0.05
+- Precisions: 0.1248
+- Brevity Penalty: 0.6089
+- Length Ratio: 0.6684
+- Translation Length: 2407.0
+- Reference Length: 3601.0
+- Precision: 0.8812
+- Recall: 0.8701
+- F1: 0.8756
+- Hashcode: roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1)
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 16
+- 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: 5
+
+### 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   | 19   | 4.1851          | 0.2835 | 0.088  | 0.2261 | 0.2267    | 20.6467 | 0.04   | 0.108      | 0.6311          | 0.6848       | 2466.0             | 3601.0           | 0.8845    | 0.8678 | 0.876  | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| No log        | 2.0   | 38   | 3.2829          | 0.2809 | 0.0891 | 0.2258 | 0.2252    | 20.64   | 0.041  | 0.1083     | 0.6093          | 0.6687       | 2408.0             | 3601.0           | 0.8795    | 0.8661 | 0.8726 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| No log        | 3.0   | 57   | 3.0226          | 0.2883 | 0.096  | 0.2293 | 0.2302    | 20.7867 | 0.0454 | 0.1151     | 0.6093          | 0.6687       | 2408.0             | 3601.0           | 0.88      | 0.8682 | 0.874  | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| No log        | 4.0   | 76   | 2.8930          | 0.301  | 0.1068 | 0.2374 | 0.2371    | 20.78   | 0.049  | 0.1246     | 0.6017          | 0.6631       | 2388.0             | 3601.0           | 0.8817    | 0.8699 | 0.8757 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| No log        | 5.0   | 95   | 2.8523          | 0.306  | 0.1081 | 0.2447 | 0.2447    | 20.8533 | 0.05   | 0.1248     | 0.6089          | 0.6684       | 2407.0             | 3601.0           | 0.8812    | 0.8701 | 0.8756 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+
+
+### Framework versions
+
+- Transformers 4.53.1
+- 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": "4.53.1",
+  "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": "4.53.1"
+}

model.safetensors

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runs/Jul08_11-48-46_tardis/events.out.tfevents.1751968127.tardis.15717.0

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special_tokens_map.json

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+{
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+  "cls_token": {
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+    "rstrip": false,
+    "single_word": false
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+  "pad_token": {
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+    "rstrip": false,
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+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": true,
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+      "single_word": false,
+      "special": true
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+  "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": 16384,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "LEDTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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