End of training

README.md

@@ -0,0 +1,61 @@
+---
+license: mit
+base_model: ingeniumacademy/bart-cnn-samsum-finetuned
+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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2314
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.0678        | 1.0   | 74   | 0.2362          |
+| 0.0884        | 2.0   | 148  | 0.2325          |
+| 0.0802        | 3.0   | 222  | 0.2268          |
+| 0.0864        | 4.0   | 296  | 0.2306          |
+| 0.0871        | 5.0   | 370  | 0.2314          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

adapter_config.json

@@ -0,0 +1,27 @@
+{
+  "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,
+  "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": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "SEQ_2_SEQ_LM",
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f146924b94469f8e8a1b34f996464c27a04745f048ae6083eab1117888f6ebed
+size 18894856

runs/Jan30_12-28-26_a7803cdbdedf/events.out.tfevents.1706617718.a7803cdbdedf.200.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e1b4dbb4979fdcbaa998f22591e759976fe6fe91d5ae2d08b25675b4d6ce13ae
+size 23159

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3a24bb991d488a7359365360eebb9dcc6136c5bf2cd3225418f010cd2570dedf
+size 4600