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_challenge2
+  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_challenge2
+
+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: 2.9586
+- Rouge1: 0.2918
+- Rouge2: 0.1012
+- Rougel: 0.2293
+- Rougelsum: 0.2288
+- Gen Len: 28.12
+- Bleu: 0.0548
+- Precisions: 0.1048
+- Brevity Penalty: 0.9001
+- Length Ratio: 0.9048
+- Translation Length: 1093.0
+- Reference Length: 1208.0
+- Precision: 0.8818
+- Recall: 0.8759
+- F1: 0.8788
+- 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: 8
+- eval_batch_size: 8
+- seed: 42
+- 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                                                  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:------:|:----------:|:---------------:|:------------:|:------------------:|:----------------:|:---------:|:------:|:------:|:---------------------------------------------------------:|
+| 9.0848        | 1.0   | 13   | 7.5283          | 0.24   | 0.0579 | 0.1713 | 0.1714    | 31.78   | 0.0296 | 0.0629     | 1.0             | 1.0439       | 1261.0             | 1208.0           | 0.8521    | 0.8597 | 0.8558 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 6.171         | 2.0   | 26   | 4.9217          | 0.2695 | 0.0854 | 0.203  | 0.2033    | 25.98   | 0.0368 | 0.0987     | 0.8063          | 0.8228       | 994.0              | 1208.0           | 0.8806    | 0.8705 | 0.8755 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 4.4536        | 3.0   | 39   | 4.1312          | 0.2717 | 0.0862 | 0.2162 | 0.2157    | 23.34   | 0.0352 | 0.1067     | 0.6694          | 0.7136       | 862.0              | 1208.0           | 0.8846    | 0.8732 | 0.8788 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 3.7683        | 4.0   | 52   | 3.7332          | 0.3043 | 0.0981 | 0.2301 | 0.2308    | 25.46   | 0.0499 | 0.1154     | 0.7784          | 0.7997       | 966.0              | 1208.0           | 0.8885    | 0.8787 | 0.8835 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 3.3278        | 5.0   | 65   | 3.4699          | 0.2978 | 0.1041 | 0.2351 | 0.2344    | 25.38   | 0.0497 | 0.1117     | 0.7854          | 0.8055       | 973.0              | 1208.0           | 0.8869    | 0.8763 | 0.8815 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 3.0332        | 6.0   | 78   | 3.2808          | 0.2946 | 0.1013 | 0.2335 | 0.2319    | 26.48   | 0.0503 | 0.1069     | 0.8181          | 0.8328       | 1006.0             | 1208.0           | 0.8857    | 0.8774 | 0.8815 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 2.8037        | 7.0   | 91   | 3.1443          | 0.295  | 0.0965 | 0.2275 | 0.2264    | 27.52   | 0.0428 | 0.0978     | 0.8612          | 0.87         | 1051.0             | 1208.0           | 0.8822    | 0.8777 | 0.8799 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 2.637         | 8.0   | 104  | 3.0523          | 0.2834 | 0.0997 | 0.2263 | 0.2257    | 27.22   | 0.0499 | 0.1034     | 0.8527          | 0.8626       | 1042.0             | 1208.0           | 0.8813    | 0.8752 | 0.8781 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 2.5158        | 9.0   | 117  | 2.9900          | 0.2821 | 0.0989 | 0.2271 | 0.2273    | 27.18   | 0.0508 | 0.1051     | 0.848           | 0.8584       | 1037.0             | 1208.0           | 0.8842    | 0.8773 | 0.8806 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 2.4321        | 10.0  | 130  | 2.9586          | 0.2918 | 0.1012 | 0.2293 | 0.2288    | 28.12   | 0.0548 | 0.1048     | 0.9001          | 0.9048       | 1093.0             | 1208.0           | 0.8818    | 0.8759 | 0.8788 | 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/Jul24_12-36-22_tardis/events.out.tfevents.1753353384.tardis.457126.0

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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": {
+    "content": "<s>",
+    "lstrip": false,
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+    "rstrip": 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,
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+      "single_word": false,
+      "special": 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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