End of training

README.md

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+---
+base_model: meta-llama/Llama-2-7b-hf
+tags:
+- generated_from_trainer
+model-index:
+- name: llama_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. -->
+
+# llama_finetune_cs_20
+
+This model is a fine-tuned version of [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0872
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.6881        | 1.0   | 150  | 1.6028          |
+| 1.3532        | 2.0   | 300  | 1.6693          |
+| 0.9084        | 3.0   | 450  | 1.8783          |
+| 0.4352        | 4.0   | 600  | 2.0825          |
+| 0.374         | 5.0   | 750  | 2.1988          |
+| 0.2596        | 6.0   | 900  | 2.2869          |
+| 0.2316        | 7.0   | 1050 | 2.3945          |
+| 0.1754        | 8.0   | 1200 | 2.5528          |
+| 0.1698        | 9.0   | 1350 | 2.6226          |
+| 0.1371        | 10.0  | 1500 | 2.5997          |
+| 0.1702        | 11.0  | 1650 | 2.7153          |
+| 0.1391        | 12.0  | 1800 | 2.6888          |
+| 0.1894        | 13.0  | 1950 | 2.7324          |
+| 0.1504        | 14.0  | 2100 | 2.8534          |
+| 0.132         | 15.0  | 2250 | 2.8804          |
+| 0.1585        | 16.0  | 2400 | 2.9148          |
+| 0.1497        | 17.0  | 2550 | 2.9550          |
+| 0.1099        | 18.0  | 2700 | 3.0002          |
+| 0.1321        | 19.0  | 2850 | 3.0532          |
+| 0.11          | 20.0  | 3000 | 3.0872          |
+
+
+### 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:ce6fcb9523a04c3e5220e71cba5e2b2200ae463f1027ef2af3158e28eb26043a
+size 160069834

all_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.3553026157890757,
+    "train_runtime": 2958.1152,
+    "train_samples_per_second": 4.057,
+    "train_steps_per_second": 1.014
+}

train_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.3553026157890757,
+    "train_runtime": 2958.1152,
+    "train_samples_per_second": 4.057,
+    "train_steps_per_second": 1.014
+}