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
+  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
+
+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: 2.9803
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.7173        | 1.0   | 150  | 1.6256          |
+| 1.5959        | 2.0   | 300  | 1.6775          |
+| 0.5699        | 3.0   | 450  | 1.9236          |
+| 0.4921        | 4.0   | 600  | 2.1318          |
+| 0.3044        | 5.0   | 750  | 2.2606          |
+| 0.2809        | 6.0   | 900  | 2.3494          |
+| 0.2299        | 7.0   | 1050 | 2.4316          |
+| 0.2073        | 8.0   | 1200 | 2.4576          |
+| 0.1851        | 9.0   | 1350 | 2.4981          |
+| 0.1906        | 10.0  | 1500 | 2.6060          |
+| 0.1616        | 11.0  | 1650 | 2.6427          |
+| 0.1529        | 12.0  | 1800 | 2.6856          |
+| 0.1453        | 13.0  | 1950 | 2.7683          |
+| 0.1507        | 14.0  | 2100 | 2.7889          |
+| 0.1607        | 15.0  | 2250 | 2.8477          |
+| 0.1545        | 16.0  | 2400 | 2.8710          |
+| 0.1598        | 17.0  | 2550 | 2.8968          |
+| 0.1593        | 18.0  | 2700 | 2.9389          |
+| 0.1479        | 19.0  | 2850 | 2.9629          |
+| 0.1298        | 20.0  | 3000 | 2.9803          |
+
+
+### 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 sha256:1e6d22083fb3a43b8556abdaebaaed23d8612c970c26d5759098edc9cdc45873
+size 160069834

all_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.3607619098474582,
+    "train_runtime": 2965.1113,
+    "train_samples_per_second": 4.047,
+    "train_steps_per_second": 1.012
+}

train_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.3607619098474582,
+    "train_runtime": 2965.1113,
+    "train_samples_per_second": 4.047,
+    "train_steps_per_second": 1.012
+}