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_approach
+  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_approach
+
+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: 3.3340
+- Rouge1: 0.4569
+- Rouge2: 0.2272
+- Rougel: 0.3918
+- Rougelsum: 0.3927
+- Gen Len: 20.82
+- Bleu: 0.1112
+- Precisions: 0.2401
+- Brevity Penalty: 0.5852
+- Length Ratio: 0.6511
+- Translation Length: 795.0
+- Reference Length: 1221.0
+- Precision: 0.9098
+- Recall: 0.8906
+- F1: 0.9
+- 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: 10
+- 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    | 7.6476          | 0.348  | 0.1355 | 0.2757 | 0.274     | 21.0    | 0.0602 | 0.1436     | 0.6232          | 0.679        | 829.0              | 1221.0           | 0.8935    | 0.8759 | 0.8845 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 2.0   | 14   | 6.4676          | 0.4218 | 0.2049 | 0.3597 | 0.3592    | 20.94   | 0.1008 | 0.2063     | 0.6419          | 0.6929       | 846.0              | 1221.0           | 0.9027    | 0.8839 | 0.8932 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 3.0   | 21   | 5.0145          | 0.4189 | 0.2067 | 0.362  | 0.3612    | 20.5    | 0.0945 | 0.2152     | 0.5919          | 0.656        | 801.0              | 1221.0           | 0.9087    | 0.8846 | 0.8964 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 4.0   | 28   | 4.2719          | 0.44   | 0.2299 | 0.3791 | 0.3778    | 20.48   | 0.1052 | 0.2337     | 0.5852          | 0.6511       | 795.0              | 1221.0           | 0.9087    | 0.8882 | 0.8982 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 5.0   | 35   | 3.9222          | 0.4538 | 0.238  | 0.3919 | 0.3917    | 20.7    | 0.1062 | 0.2404     | 0.5795          | 0.647        | 790.0              | 1221.0           | 0.9126    | 0.891  | 0.9016 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 6.0   | 42   | 3.6730          | 0.4582 | 0.2266 | 0.3926 | 0.3922    | 20.82   | 0.1093 | 0.236      | 0.5908          | 0.6552       | 800.0              | 1221.0           | 0.9099    | 0.8895 | 0.8995 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 7.0   | 49   | 3.5177          | 0.4639 | 0.2385 | 0.4037 | 0.4033    | 20.76   | 0.117  | 0.2484     | 0.5863          | 0.6519       | 796.0              | 1221.0           | 0.9101    | 0.8901 | 0.8999 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 8.0   | 56   | 3.4234          | 0.4564 | 0.2345 | 0.398  | 0.3978    | 20.72   | 0.1148 | 0.247      | 0.5806          | 0.6478       | 791.0              | 1221.0           | 0.9094    | 0.8891 | 0.899  | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 9.0   | 63   | 3.3645          | 0.4518 | 0.2273 | 0.3912 | 0.3913    | 20.82   | 0.1111 | 0.2376     | 0.5886          | 0.6536       | 798.0              | 1221.0           | 0.9087    | 0.8899 | 0.8991 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 10.0  | 70   | 3.3340          | 0.4569 | 0.2272 | 0.3918 | 0.3927    | 20.82   | 0.1112 | 0.2401     | 0.5852          | 0.6511       | 795.0              | 1221.0           | 0.9098    | 0.8906 | 0.9    | 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"
+}

model.safetensors

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runs/Jul01_10-48-10_tardis/events.out.tfevents.1751359691.tardis.47257.0

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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
+  },
+  "cls_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
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+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<pad>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": true,
+    "rstrip": false,
+    "single_word": false
+  },
+  "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,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": true,
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+      "special": true
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+      "lstrip": true,
+      "normalized": true,
+      "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": 16384,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "LEDTokenizer",
+  "trim_offsets": true,
+  "unk_token": "<unk>"
+}

training_args.bin

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+oid sha256:af65e1f5398228dd0375483a8c0507b084e402c58c414e24d321eb581e13f4b3
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