End of training

README.md

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+---
+base_model: allenai/PRIMERA
+library_name: peft
+metrics:
+- rouge
+tags:
+- generated_from_trainer
+model-index:
+- name: PRIMERA-lora-finetuned
+  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. -->
+
+# PRIMERA-lora-finetuned
+
+This model is a fine-tuned version of [allenai/PRIMERA](https://huggingface.co/allenai/PRIMERA) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.4326
+- Rouge1: 13.8331
+- Rouge2: 6.379
+- Rougel: 11.3582
+- Rougelsum: 13.0901
+- Gen Len: 19.0217
+
+## 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: 2
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 16
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
+| 1.9399        | 1.0   | 4725  | 1.6257          | 13.1779 | 5.0715 | 10.6386 | 11.9435   | 19.3478 |
+| 1.8124        | 2.0   | 9450  | 1.5723          | 12.8712 | 5.1519 | 10.5072 | 11.9192   | 19.3478 |
+| 1.7698        | 3.0   | 14175 | 1.5261          | 13.6339 | 5.5927 | 10.9273 | 12.3707   | 19.3478 |
+| 1.7171        | 4.0   | 18900 | 1.4990          | 13.0984 | 6.164  | 10.9698 | 12.1863   | 19.6739 |
+| 1.7096        | 5.0   | 23625 | 1.4832          | 12.7164 | 5.4214 | 10.3325 | 11.8134   | 19.3478 |
+| 1.6889        | 6.0   | 28350 | 1.4743          | 13.0677 | 4.9162 | 10.3945 | 11.9299   | 19.3478 |
+| 1.6667        | 7.0   | 33075 | 1.4652          | 13.8986 | 6.1753 | 10.9896 | 12.8072   | 19.3478 |
+| 1.6836        | 8.0   | 37800 | 1.4573          | 13.0179 | 5.5771 | 10.4498 | 12.2198   | 19.0217 |
+| 1.6611        | 9.0   | 42525 | 1.4523          | 12.8773 | 5.3502 | 10.294  | 11.9712   | 19.0217 |
+| 1.6842        | 10.0  | 47250 | 1.4503          | 13.1982 | 5.0089 | 10.4547 | 12.2554   | 19.0217 |
+| 1.6373        | 11.0  | 51975 | 1.4432          | 13.0444 | 5.533  | 10.3895 | 12.3086   | 19.0217 |
+| 1.6882        | 12.0  | 56700 | 1.4408          | 13.7092 | 5.9873 | 11.1084 | 12.8159   | 19.3478 |
+| 1.6707        | 13.0  | 61425 | 1.4395          | 13.6103 | 6.2231 | 10.7643 | 12.7343   | 19.0217 |
+| 1.677         | 14.0  | 66150 | 1.4366          | 13.5232 | 6.3114 | 10.9432 | 12.7234   | 19.0217 |
+| 1.6825        | 15.0  | 70875 | 1.4347          | 13.7907 | 6.1456 | 11.0682 | 12.803    | 19.0217 |
+| 1.6516        | 16.0  | 75600 | 1.4326          | 13.8331 | 6.379  | 11.3582 | 13.0901   | 19.0217 |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.43.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "allenai/PRIMERA",
+  "bias": "none",
+  "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_dropout": 0.1,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "led.encoder.layers.0.self_attn.longformer_self_attn.value",
+    "led.encoder.layers.0.self_attn.longformer_self_attn.query",
+    "led.decoder.layers.0.self_attn.longformer_self_attn.query",
+    "led.decoder.layers.0.self_attn.longformer_self_attn.key",
+    "led.encoder.layers.0.self_attn.longformer_self_attn.key",
+    "led.decoder.layers.0.self_attn.longformer_self_attn.value"
+  ],
+  "task_type": "SEQ_2_SEQ_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

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added_tokens.json

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special_tokens_map.json

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tokenizer_config.json

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