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_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. -->
+
+# llama_finetune_cs_20_cot
+
+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: 3.3122
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.5397        | 1.0   | 150  | 1.4682          |
+| 1.2842        | 2.0   | 300  | 1.5033          |
+| 1.0418        | 3.0   | 450  | 1.7145          |
+| 0.3202        | 4.0   | 600  | 1.9554          |
+| 0.3109        | 5.0   | 750  | 2.2233          |
+| 0.3597        | 6.0   | 900  | 2.4190          |
+| 0.1135        | 7.0   | 1050 | 2.4910          |
+| 0.0863        | 8.0   | 1200 | 2.5746          |
+| 0.1082        | 9.0   | 1350 | 2.6889          |
+| 0.0757        | 10.0  | 1500 | 2.7235          |
+| 0.0818        | 11.0  | 1650 | 2.8289          |
+| 0.0698        | 12.0  | 1800 | 2.8434          |
+| 0.0714        | 13.0  | 1950 | 2.7956          |
+| 0.0779        | 14.0  | 2100 | 2.9733          |
+| 0.067         | 15.0  | 2250 | 3.0476          |
+| 0.065         | 16.0  | 2400 | 3.1342          |
+| 0.067         | 17.0  | 2550 | 3.1901          |
+| 0.0777        | 18.0  | 2700 | 3.2490          |
+| 0.0647        | 19.0  | 2850 | 3.3113          |
+| 0.0661        | 20.0  | 3000 | 3.3122          |
+
+
+### 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:b631629997a9f7f13b8737181959de2dcdee03f5ecf49f6d6725fbe95980684d
+size 160069834

all_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.2855387391100327,
+    "train_runtime": 5294.5765,
+    "train_samples_per_second": 2.266,
+    "train_steps_per_second": 0.567
+}

train_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.2855387391100327,
+    "train_runtime": 5294.5765,
+    "train_samples_per_second": 2.266,
+    "train_steps_per_second": 0.567
+}