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_arc_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_arc_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: 2.8229
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2708        | 1.0   | 150  | 1.2201          |
+| 0.8854        | 2.0   | 300  | 1.2765          |
+| 0.567         | 3.0   | 450  | 1.4685          |
+| 0.3112        | 4.0   | 600  | 1.7395          |
+| 0.1762        | 5.0   | 750  | 2.0026          |
+| 0.1228        | 6.0   | 900  | 2.0326          |
+| 0.1002        | 7.0   | 1050 | 2.1066          |
+| 0.0931        | 8.0   | 1200 | 2.1262          |
+| 0.1434        | 9.0   | 1350 | 2.2417          |
+| 0.0746        | 10.0  | 1500 | 2.3327          |
+| 0.069         | 11.0  | 1650 | 2.3327          |
+| 0.0804        | 12.0  | 1800 | 2.5652          |
+| 0.0586        | 13.0  | 1950 | 2.4866          |
+| 0.0652        | 14.0  | 2100 | 2.5962          |
+| 0.0471        | 15.0  | 2250 | 2.6461          |
+| 0.054         | 16.0  | 2400 | 2.6890          |
+| 0.0602        | 17.0  | 2550 | 2.7081          |
+| 0.0562        | 18.0  | 2700 | 2.7800          |
+| 0.064         | 19.0  | 2850 | 2.8103          |
+| 0.0509        | 20.0  | 3000 | 2.8229          |
+
+
+### 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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+version https://git-lfs.github.com/spec/v1
+oid sha256:a0ba4c414a7e26703eddaf50abbbb92d78c33119db3bba75b2d738edbe19fa59
+size 160069834

all_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.21113803682476281,
+    "train_runtime": 5542.599,
+    "train_samples_per_second": 2.165,
+    "train_steps_per_second": 0.541
+}

train_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.21113803682476281,
+    "train_runtime": 5542.599,
+    "train_samples_per_second": 2.165,
+    "train_steps_per_second": 0.541
+}