End of training

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: facebook/bart-large-cnn
+datasets:
+- samsum
+model-index:
+- name: bart-cnn-samsum-peft
+  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. -->
+
+# bart-cnn-samsum-peft
+
+This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the samsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5166
+
+## 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: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9416        | 1.0   | 37   | 0.7712          |
+| 0.6612        | 2.0   | 74   | 0.6450          |
+| 0.5657        | 3.0   | 111  | 0.5918          |
+| 0.5758        | 4.0   | 148  | 0.5598          |
+| 0.499         | 5.0   | 185  | 0.5426          |
+| 0.4521        | 6.0   | 222  | 0.5314          |
+| 0.4618        | 7.0   | 259  | 0.5244          |
+| 0.4838        | 8.0   | 296  | 0.5202          |
+| 0.4983        | 9.0   | 333  | 0.5175          |
+| 0.4688        | 10.0  | 370  | 0.5166          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "facebook/bart-large-cnn",
+  "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": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "SEQ_2_SEQ_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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runs/Jun05_10-45-47_aa5215c66d77/events.out.tfevents.1717584683.aa5215c66d77.468.0

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runs/Jun05_10-54-43_aa5215c66d77/events.out.tfevents.1717584891.aa5215c66d77.468.1

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training_args.bin

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