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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 size 159967880

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

@@ -0,0 +1,7 @@
+{
+    "epoch": 20.0,
+    "train_loss": 0.135591789316386,
+    "train_runtime": 4699.1287,
+    "train_samples_per_second": 1.192,
+    "train_steps_per_second": 0.298
+}