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_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_mc_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: 4.0612
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.8917        | 1.0   | 70   | 1.7411          |
+| 0.2135        | 2.0   | 140  | 2.3727          |
+| 0.1702        | 3.0   | 210  | 2.5470          |
+| 0.1234        | 4.0   | 280  | 2.8131          |
+| 0.0843        | 5.0   | 350  | 3.0446          |
+| 0.0478        | 6.0   | 420  | 3.1141          |
+| 0.0473        | 7.0   | 490  | 3.2304          |
+| 0.0544        | 8.0   | 560  | 3.3806          |
+| 0.0289        | 9.0   | 630  | 3.4231          |
+| 0.0202        | 10.0  | 700  | 3.5503          |
+| 0.0214        | 11.0  | 770  | 3.5892          |
+| 0.0261        | 12.0  | 840  | 3.7211          |
+| 0.0232        | 13.0  | 910  | 3.8148          |
+| 0.0242        | 14.0  | 980  | 3.8177          |
+| 0.0198        | 15.0  | 1050 | 3.9079          |
+| 0.018         | 16.0  | 1120 | 3.9320          |
+| 0.0196        | 17.0  | 1190 | 3.9807          |
+| 0.0179        | 18.0  | 1260 | 4.0263          |
+| 0.0194        | 19.0  | 1330 | 4.0520          |
+| 0.0169        | 20.0  | 1400 | 4.0612          |
+
+
+### 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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 size 159967880

all_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.14214974850682274,
+    "train_runtime": 5388.9228,
+    "train_samples_per_second": 1.039,
+    "train_steps_per_second": 0.26
+}

train_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 20.0,
+    "train_loss": 0.14214974850682274,
+    "train_runtime": 5388.9228,
+    "train_samples_per_second": 1.039,
+    "train_steps_per_second": 0.26
+}