End of training

README.md

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+---
+library_name: peft
+license: apache-2.0
+base_model: allenai/led-base-16384
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+- bleu
+- precision
+- recall
+- f1
+model-index:
+- name: Lora_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. -->
+
+# Lora_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: 8.9553
+- Rouge1: 0.2277
+- Rouge2: 0.0709
+- Rougel: 0.1753
+- Rougelsum: 0.1749
+- Gen Len: 32.0
+- Bleu: 0.0515
+- Precisions: 0.0767
+- Brevity Penalty: 1.0
+- Length Ratio: 1.027
+- Translation Length: 1254.0
+- Reference Length: 1221.0
+- Precision: 0.8537
+- Recall: 0.8599
+- F1: 0.8567
+- 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                                                  |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|:------:|:----------:|:---------------:|:------------:|:------------------:|:----------------:|:---------:|:------:|:------:|:---------------------------------------------------------:|
+| 10.0932       | 1.0   | 13   | 9.8819          | 0.2396 | 0.0841 | 0.1875 | 0.1875    | 32.0    | 0.0599 | 0.0831     | 1.0             | 1.0295       | 1257.0             | 1221.0           | 0.8563    | 0.8616 | 0.8589 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 9.8397        | 2.0   | 26   | 9.6941          | 0.2309 | 0.0758 | 0.1797 | 0.1799    | 32.0    | 0.052  | 0.0768     | 1.0             | 1.0344       | 1263.0             | 1221.0           | 0.8546    | 0.8602 | 0.8573 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 9.6452        | 3.0   | 39   | 9.5103          | 0.2309 | 0.0758 | 0.1797 | 0.1799    | 32.0    | 0.052  | 0.0768     | 1.0             | 1.0344       | 1263.0             | 1221.0           | 0.8546    | 0.8602 | 0.8573 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 9.5062        | 4.0   | 52   | 9.3589          | 0.2306 | 0.0721 | 0.1775 | 0.1773    | 32.0    | 0.0513 | 0.0761     | 1.0             | 1.0336       | 1262.0             | 1221.0           | 0.8541    | 0.8601 | 0.857  | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 9.3712        | 5.0   | 65   | 9.2362          | 0.2306 | 0.0721 | 0.1775 | 0.1773    | 32.0    | 0.0513 | 0.0761     | 1.0             | 1.0336       | 1262.0             | 1221.0           | 0.8541    | 0.8601 | 0.857  | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 9.2857        | 6.0   | 78   | 9.1372          | 0.2279 | 0.0709 | 0.1752 | 0.1747    | 32.0    | 0.0515 | 0.0764     | 1.0             | 1.0262       | 1253.0             | 1221.0           | 0.8534    | 0.8599 | 0.8566 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 9.1699        | 7.0   | 91   | 9.0586          | 0.2277 | 0.0709 | 0.1753 | 0.1749    | 32.0    | 0.0515 | 0.0767     | 1.0             | 1.027        | 1254.0             | 1221.0           | 0.8537    | 0.8599 | 0.8567 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 9.0854        | 8.0   | 104  | 9.0023          | 0.2277 | 0.0709 | 0.1753 | 0.1749    | 32.0    | 0.0515 | 0.0767     | 1.0             | 1.027        | 1254.0             | 1221.0           | 0.8537    | 0.8599 | 0.8567 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 9.0481        | 9.0   | 117  | 8.9680          | 0.2277 | 0.0709 | 0.1753 | 0.1749    | 32.0    | 0.0515 | 0.0767     | 1.0             | 1.027        | 1254.0             | 1221.0           | 0.8537    | 0.8599 | 0.8567 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+| 8.9478        | 10.0  | 130  | 8.9553          | 0.2277 | 0.0709 | 0.1753 | 0.1749    | 32.0    | 0.0515 | 0.0767     | 1.0             | 1.027        | 1254.0             | 1221.0           | 0.8537    | 0.8599 | 0.8567 | roberta-large_L17_no-idf_version=0.3.12(hug_trans=4.53.1) |
+
+
+### Framework versions
+
+- PEFT 0.15.2
+- Transformers 4.53.1
+- Pytorch 2.7.0+cu126
+- Datasets 3.6.0
+- Tokenizers 0.21.1

adapter_config.json

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+  "base_model_name_or_path": "allenai/led-base-16384",
+  "bias": "none",
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+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
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+    "out_proj"
+  ],
+  "task_type": "SEQ_2_SEQ_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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runs/Jul24_13-04-04_tardis/events.out.tfevents.1753355047.tardis.468580.0

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special_tokens_map.json

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+{
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tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "0": {
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+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+      "lstrip": false,
+      "normalized": true,
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+  "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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