End of training

README.md

@@ -0,0 +1,65 @@
+---
+base_model: ingeniumacademy/bart-cnn-samsum-finetuned
+datasets:
+- samsum
+library_name: peft
+license: mit
+tags:
+- generated_from_trainer
+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: 0.7338
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5752        | 1.0   | 19   | 0.7395          |
+| 0.6048        | 2.0   | 38   | 0.7373          |
+| 0.548         | 3.0   | 57   | 0.7354          |
+| 0.5454        | 4.0   | 76   | 0.7343          |
+| 0.6093        | 5.0   | 95   | 0.7338          |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.42.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

adapter_config.json

@@ -0,0 +1,29 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "ingeniumacademy/bart-cnn-samsum-finetuned",
+  "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

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:520cdabf39604add45bc22b9ca18cc658be2e258bdbcbb7052f159e797a9c8d9
+size 18894856

runs/Aug27_07-33-03_31e72a6a974f/events.out.tfevents.1724744100.31e72a6a974f.376.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de46730bed4b6e60dcf66d99669aab4502e6ea91c3bc1a966f7ccbb7958ab0f5
+size 5876

runs/Aug27_07-44-21_31e72a6a974f/events.out.tfevents.1724744672.31e72a6a974f.376.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ce746183dd885bb6a548a59b712af1cd789e7426a453edb6a56ad1d0d8e18745
+size 15253

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:20995629f308a1a49d475cb77f17a7e4176877ac68d7667e61fdd2fd51deceed
+size 5176