percymamedy
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End of training
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README.md
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---
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license: mit
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: percymamedy/bart-cnn-samsum-finetuned
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datasets:
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- samsum
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model-index:
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- name: bart-cnn-samsum-peft
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# bart-cnn-samsum-peft
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This model is a fine-tuned version of [percymamedy/bart-cnn-samsum-finetuned](https://huggingface.co/percymamedy/bart-cnn-samsum-finetuned) on the samsum dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1346
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.0788 | 1.0 | 19 | 0.1345 |
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| 0.0872 | 2.0 | 38 | 0.1345 |
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| 0.0778 | 3.0 | 57 | 0.1345 |
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| 0.0796 | 4.0 | 76 | 0.1346 |
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| 0.0924 | 5.0 | 95 | 0.1346 |
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### Framework versions
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- PEFT 0.11.1
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "percymamedy/bart-cnn-samsum-finetuned",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 32,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj"
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],
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"task_type": "SEQ_2_SEQ_LM",
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e0095d4854ea616edb309c74beadc45b79ebb5e8f38d9472ab12ae5755288748
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size 18894856
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runs/Jun18_05-06-52_7e55798dea98/events.out.tfevents.1718687254.7e55798dea98.327.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:1ba08883fd663604f5ebb3374292509c3f04c6ff55280e7d8486c355288fbb8b
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size 9420
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:67085a217a4dafc3f15fe1e129f53aae761491bb071587a704bd03003b850426
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size 5176
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