End of training

README.md

@@ -0,0 +1,63 @@
+---
+license: mit
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: Shre09/bart-cnn-samsum-finetuned
+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 [Shre09/bart-cnn-samsum-finetuned](https://huggingface.co/Shre09/bart-cnn-samsum-finetuned) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1415
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.0794        | 1.0   | 37   | 0.1410          |
+| 0.0845        | 2.0   | 74   | 0.1414          |
+| 0.0894        | 3.0   | 111  | 0.1416          |
+| 0.073         | 4.0   | 148  | 0.1415          |
+| 0.0807        | 5.0   | 185  | 0.1415          |
+
+
+### Framework versions
+
+- PEFT 0.10.0
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

@@ -0,0 +1,29 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "Shre09/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 sha256:39fcd9ac6e820d052874da9ff91089dd548e402b801b0f815d39fbab379d354f
+size 18894856

runs/Mar21_16-58-51_4461620df6a3/events.out.tfevents.1711040348.4461620df6a3.1402.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:05a7f64950b9c544a7da759955cb3cd76d19efed9c78ca54de455f1463880ced
+size 16602

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:647ca475567cbcb58dfa209585d3344ed62e4c8a1766ff483036f021fd4ccc8b
+size 4920