End of training

README.md

@@ -0,0 +1,65 @@
+---
+library_name: peft
+license: mit
+base_model: ingeniumacademy/bart-cnn-samsum-finetuned
+tags:
+- generated_from_trainer
+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 [ingeniumacademy/bart-cnn-samsum-finetuned](https://huggingface.co/ingeniumacademy/bart-cnn-samsum-finetuned) on the samsum dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1346
+
+## 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: 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.0788        | 1.0   | 19   | 0.1344          |
+| 0.0873        | 2.0   | 38   | 0.1345          |
+| 0.0777        | 3.0   | 57   | 0.1345          |
+| 0.0796        | 4.0   | 76   | 0.1345          |
+| 0.0924        | 5.0   | 95   | 0.1346          |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

adapter_config.json

@@ -0,0 +1,32 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "ingeniumacademy/bart-cnn-samsum-finetuned",
+  "bias": "none",
+  "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": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "SEQ_2_SEQ_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:89c54e02dd5ef4550af4c8cb847c983601e07cdcb794e647e8e3f041413db48f
+size 18894856

runs/Feb04_21-34-43_ff7bc541449d/events.out.tfevents.1738704896.ff7bc541449d.290.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29fbd63524c328042911d802b5a404d9d11b9c506deab12673e6c6da8ac0222a
+size 6130

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:91f0686c0661c4ab59bd81eaa7c732fd1433596969955b1e87c5d7a8d46b403c
+size 5368