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_race_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_race_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: 3.2382
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.218         | 1.0   | 150  | 1.3450          |
+| 0.8105        | 2.0   | 300  | 1.3977          |
+| 0.5315        | 3.0   | 450  | 1.4943          |
+| 0.6257        | 4.0   | 600  | 1.6812          |
+| 0.1961        | 5.0   | 750  | 1.9107          |
+| 0.141         | 6.0   | 900  | 2.1245          |
+| 0.1549        | 7.0   | 1050 | 2.1764          |
+| 0.0783        | 8.0   | 1200 | 2.4002          |
+| 0.0846        | 9.0   | 1350 | 2.4001          |
+| 0.0518        | 10.0  | 1500 | 2.5191          |
+| 0.0568        | 11.0  | 1650 | 2.5257          |
+| 0.0498        | 12.0  | 1800 | 2.5847          |
+| 0.0494        | 13.0  | 1950 | 2.7678          |
+| 0.0326        | 14.0  | 2100 | 2.8382          |
+| 0.035         | 15.0  | 2250 | 2.9128          |
+| 0.0389        | 16.0  | 2400 | 3.0079          |
+| 0.0427        | 17.0  | 2550 | 3.0754          |
+| 0.0353        | 18.0  | 2700 | 3.1909          |
+| 0.0368        | 19.0  | 2850 | 3.2083          |
+| 0.0316        | 20.0  | 3000 | 3.2382          |
+
+
+### 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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+version https://git-lfs.github.com/spec/v1
+oid sha256:abcf6a2b5da5f9ebd4f91a7435de48db9472816c561b97fb904a26e9241ed1df
+size 160069834

all_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.23340624971936147,
+    "train_runtime": 7517.3759,
+    "train_samples_per_second": 1.596,
+    "train_steps_per_second": 0.399
+}

train_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.23340624971936147,
+    "train_runtime": 7517.3759,
+    "train_samples_per_second": 1.596,
+    "train_steps_per_second": 0.399
+}