End of training

README.md

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+---
+license: llama2
+base_model: lmsys/vicuna-7b-v1.5
+tags:
+- generated_from_trainer
+model-index:
+- name: finetune_cs_20_cot
+ 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. -->
+
+# finetune_cs_20_cot
+
+This model is a fine-tuned version of [lmsys/vicuna-7b-v1.5](https://huggingface.co/lmsys/vicuna-7b-v1.5) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.9873
+
+## 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: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 5
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.7119 | 1.0 | 150 | 1.6237 |
+| 1.5767 | 2.0 | 300 | 1.6768 |
+| 0.5982 | 3.0 | 450 | 1.9207 |
+| 0.5098 | 4.0 | 600 | 2.1488 |
+| 0.3085 | 5.0 | 750 | 2.2398 |
+| 0.2595 | 6.0 | 900 | 2.2685 |
+| 0.2118 | 7.0 | 1050 | 2.4754 |
+| 0.2221 | 8.0 | 1200 | 2.4747 |
+| 0.1796 | 9.0 | 1350 | 2.5642 |
+| 0.1706 | 10.0 | 1500 | 2.5938 |
+| 0.161 | 11.0 | 1650 | 2.6814 |
+| 0.1484 | 12.0 | 1800 | 2.7009 |
+| 0.1408 | 13.0 | 1950 | 2.7635 |
+| 0.1472 | 14.0 | 2100 | 2.7593 |
+| 0.154 | 15.0 | 2250 | 2.8357 |
+| 0.1455 | 16.0 | 2400 | 2.8705 |
+| 0.164 | 17.0 | 2550 | 2.9052 |
+| 0.1613 | 18.0 | 2700 | 2.9437 |
+| 0.1397 | 19.0 | 2850 | 2.9716 |
+| 0.1177 | 20.0 | 3000 | 2.9873 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

adapter_model.bin

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+oid sha256:ad488422413b4a90491fd9466ce2786d644c3d0b64380b52d95993ead04f4a8b
+size 160069834

all_results.json

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+{
+ "epoch": 20.0,
+ "train_loss": 0.35785943919916946,
+ "train_runtime": 2863.0179,
+ "train_samples_per_second": 4.191,
+ "train_steps_per_second": 1.048
+}

train_results.json

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+{
+ "epoch": 20.0,
+ "train_loss": 0.35785943919916946,
+ "train_runtime": 2863.0179,
+ "train_samples_per_second": 4.191,
+ "train_steps_per_second": 1.048
+}