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_outcome
+  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_outcome
+
+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: 3.4730
+- Rouge1: 0.3601
+- Rouge2: 0.1515
+- Rougel: 0.3017
+- Rougelsum: 0.301
+- Gen Len: 20.36
+- Bleu: 0.0595
+- Precisions: 0.1544
+- Brevity Penalty: 0.6108
+- Length Ratio: 0.6698
+- Translation Length: 785.0
+- Reference Length: 1172.0
+- Precision: 0.8997
+- Recall: 0.8766
+- F1: 0.8879
+- 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    | 7.7628          | 0.2668 | 0.0617 | 0.2177 | 0.2179    | 21.0    | 0.0211 | 0.0856     | 0.6935          | 0.7321       | 858.0              | 1172.0           | 0.8742    | 0.86   | 0.8669 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 2.0   | 14   | 6.5648          | 0.3427 | 0.124  | 0.2806 | 0.2804    | 20.16   | 0.0514 | 0.1396     | 0.6085          | 0.6681       | 783.0              | 1172.0           | 0.8991    | 0.8717 | 0.8851 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 3.0   | 21   | 5.1851          | 0.3468 | 0.1383 | 0.282  | 0.2807    | 19.7    | 0.0722 | 0.1711     | 0.578           | 0.6459       | 757.0              | 1172.0           | 0.9029    | 0.8772 | 0.8898 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 4.0   | 28   | 4.4398          | 0.3475 | 0.1299 | 0.2825 | 0.2821    | 20.18   | 0.0455 | 0.1417     | 0.598           | 0.6604       | 774.0              | 1172.0           | 0.8979    | 0.8766 | 0.887  | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 5.0   | 35   | 4.0655          | 0.3506 | 0.1412 | 0.2913 | 0.2901    | 19.94   | 0.054  | 0.1556     | 0.5685          | 0.6391       | 749.0              | 1172.0           | 0.8987    | 0.8772 | 0.8877 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 6.0   | 42   | 3.8299          | 0.356  | 0.148  | 0.295  | 0.294     | 20.38   | 0.0616 | 0.1566     | 0.6073          | 0.6672       | 782.0              | 1172.0           | 0.9002    | 0.8781 | 0.8889 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 7.0   | 49   | 3.6727          | 0.3645 | 0.144  | 0.2966 | 0.296     | 20.38   | 0.0637 | 0.1593     | 0.6108          | 0.6698       | 785.0              | 1172.0           | 0.8987    | 0.8774 | 0.8878 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 8.0   | 56   | 3.5737          | 0.3586 | 0.146  | 0.2948 | 0.2941    | 20.44   | 0.0632 | 0.1563     | 0.6201          | 0.6766       | 793.0              | 1172.0           | 0.8965    | 0.8762 | 0.8862 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 9.0   | 63   | 3.5072          | 0.3568 | 0.1486 | 0.2976 | 0.2963    | 20.36   | 0.0598 | 0.1536     | 0.6189          | 0.6758       | 792.0              | 1172.0           | 0.8986    | 0.8769 | 0.8875 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.0) |
+| No log        | 10.0  | 70   | 3.4730          | 0.3601 | 0.1515 | 0.3017 | 0.301     | 20.36   | 0.0595 | 0.1544     | 0.6108          | 0.6698       | 785.0              | 1172.0           | 0.8997    | 0.8766 | 0.8879 | 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_11-03-59_tardis/events.out.tfevents.1751360640.tardis.47456.0

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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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+      "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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