End of training

README.md

@@ -0,0 +1,82 @@
+---
+license: cc-by-nc-nd-4.0
+library_name: peft
+tags:
+- generated_from_trainer
+base_model: kakaobrain/kogpt
+model-index:
+- name: pretrained-asd_wo-cot_w-asd_gpt
+  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. -->
+
+# pretrained-asd_wo-cot_w-asd_gpt
+
+This model is a fine-tuned version of [kakaobrain/kogpt](https://huggingface.co/kakaobrain/kogpt) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.5349
+
+## 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: 3e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 10.3358       | 0.1290 | 1    | 10.3445         |
+| 9.6433        | 0.2581 | 2    | 9.6464          |
+| 8.9317        | 0.3871 | 3    | 8.9778          |
+| 8.4529        | 0.5161 | 4    | 8.3759          |
+| 7.8797        | 0.6452 | 5    | 8.3759          |
+| 7.9183        | 0.7742 | 6    | 7.7919          |
+| 7.3288        | 0.9032 | 7    | 7.2000          |
+| 6.8404        | 1.0323 | 8    | 6.6658          |
+| 6.1929        | 1.1613 | 9    | 6.1626          |
+| 5.7018        | 1.2903 | 10   | 5.6848          |
+| 5.3948        | 1.4194 | 11   | 5.2752          |
+| 4.9769        | 1.5484 | 12   | 4.9355          |
+| 4.7513        | 1.6774 | 13   | 4.6277          |
+| 4.5139        | 1.8065 | 14   | 4.3709          |
+| 4.1545        | 1.9355 | 15   | 4.1658          |
+| 3.895         | 2.0645 | 16   | 3.9919          |
+| 3.6844        | 2.1935 | 17   | 3.8500          |
+| 3.6875        | 2.3226 | 18   | 3.7336          |
+| 3.6514        | 2.4516 | 19   | 3.6427          |
+| 3.4645        | 2.5806 | 20   | 3.5779          |
+| 3.3493        | 2.7097 | 21   | 3.5349          |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.1
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f95b8a78d2d52fcdd1ba0a955d2a9b2450fd3f4b916b384ef2e22e4b055c5bd4
+oid sha256:a46e8424cf656fd3c25ed6e5f7a5e1218aa7e735125aff4456898c30ce5e9dc9
 size 66103768

runs/Aug18_04-09-25_oem-WS-C621E-SAGE-Series/events.out.tfevents.1723921766.oem-WS-C621E-SAGE-Series.620773.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f357d3e172c99ab008943e2e0e22f1179838a32de71cb7bd3e38a88350755389
-size 15290
+oid sha256:fd933e5294a037c12035395404513f6caa004c55d958960c0cfb2173e5986f41
+size 16111