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_arc_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_arc_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: 2.9424
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.1762        | 1.0   | 150  | 1.1987          |
+| 0.9486        | 2.0   | 300  | 1.2338          |
+| 0.6296        | 3.0   | 450  | 1.4406          |
+| 0.244         | 4.0   | 600  | 1.7124          |
+| 0.2032        | 5.0   | 750  | 1.8587          |
+| 0.1091        | 6.0   | 900  | 2.0025          |
+| 0.1157        | 7.0   | 1050 | 2.0500          |
+| 0.1458        | 8.0   | 1200 | 2.2667          |
+| 0.0639        | 9.0   | 1350 | 2.1986          |
+| 0.0651        | 10.0  | 1500 | 2.3844          |
+| 0.0621        | 11.0  | 1650 | 2.4926          |
+| 0.0474        | 12.0  | 1800 | 2.5012          |
+| 0.0524        | 13.0  | 1950 | 2.6149          |
+| 0.0789        | 14.0  | 2100 | 2.6728          |
+| 0.0428        | 15.0  | 2250 | 2.7003          |
+| 0.0446        | 16.0  | 2400 | 2.7733          |
+| 0.0762        | 17.0  | 2550 | 2.8436          |
+| 0.0535        | 18.0  | 2700 | 2.9111          |
+| 0.04          | 19.0  | 2850 | 2.9168          |
+| 0.0419        | 20.0  | 3000 | 2.9424          |
+
+
+### 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 sha256:0de8571e0ed18fd3ecd7b7066ae1be785905419195478f1ef3d5e9b38119cbe1
+size 160069834

all_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.20977082205812136,
+    "train_runtime": 5455.3582,
+    "train_samples_per_second": 2.2,
+    "train_steps_per_second": 0.55
+}

train_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.20977082205812136,
+    "train_runtime": 5455.3582,
+    "train_samples_per_second": 2.2,
+    "train_steps_per_second": 0.55
+}