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_mc_20
+ 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_mc_20
+
+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: 4.1545
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9427 | 1.0 | 70 | 1.9064 |
+| 0.2001 | 2.0 | 140 | 2.6308 |
+| 0.1129 | 3.0 | 210 | 2.9004 |
+| 0.0803 | 4.0 | 280 | 3.0336 |
+| 0.0665 | 5.0 | 350 | 3.0398 |
+| 0.0396 | 6.0 | 420 | 3.0769 |
+| 0.0429 | 7.0 | 490 | 3.1504 |
+| 0.0318 | 8.0 | 560 | 3.2690 |
+| 0.03 | 9.0 | 630 | 3.4818 |
+| 0.0258 | 10.0 | 700 | 3.6011 |
+| 0.0247 | 11.0 | 770 | 3.7578 |
+| 0.0287 | 12.0 | 840 | 3.8834 |
+| 0.0257 | 13.0 | 910 | 3.9492 |
+| 0.0267 | 14.0 | 980 | 3.9646 |
+| 0.0205 | 15.0 | 1050 | 4.0157 |
+| 0.0202 | 16.0 | 1120 | 4.0518 |
+| 0.0222 | 17.0 | 1190 | 4.0854 |
+| 0.0203 | 18.0 | 1260 | 4.1229 |
+| 0.0231 | 19.0 | 1330 | 4.1433 |
+| 0.0199 | 20.0 | 1400 | 4.1545 |
+
+
+### Framework versions
+
+- Transformers 4.36.0.dev0
+- Pytorch 2.1.0+cu121
+- Datasets 2.13.1
+- Tokenizers 0.14.1

adapter_model.bin

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adapter_model.safetensors

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all_results.json

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+{
+ "epoch": 20.0,
+ "train_loss": 0.135591789316386,
+ "train_runtime": 4699.1287,
+ "train_samples_per_second": 1.192,
+ "train_steps_per_second": 0.298
+}

train_results.json

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+{
+ "epoch": 20.0,
+ "train_loss": 0.135591789316386,
+ "train_runtime": 4699.1287,
+ "train_samples_per_second": 1.192,
+ "train_steps_per_second": 0.298
+}