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_race_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_race_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: 3.4534
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.2478        | 1.0   | 150  | 1.4180          |
+| 0.7183        | 2.0   | 300  | 1.4867          |
+| 0.5553        | 3.0   | 450  | 1.6282          |
+| 0.6139        | 4.0   | 600  | 1.8190          |
+| 0.2089        | 5.0   | 750  | 1.9858          |
+| 0.1597        | 6.0   | 900  | 2.1239          |
+| 0.1706        | 7.0   | 1050 | 2.2716          |
+| 0.1075        | 8.0   | 1200 | 2.4046          |
+| 0.0903        | 9.0   | 1350 | 2.5014          |
+| 0.0755        | 10.0  | 1500 | 2.5739          |
+| 0.0686        | 11.0  | 1650 | 2.7048          |
+| 0.0547        | 12.0  | 1800 | 2.6282          |
+| 0.0495        | 13.0  | 1950 | 2.8231          |
+| 0.0455        | 14.0  | 2100 | 3.0115          |
+| 0.0415        | 15.0  | 2250 | 3.0576          |
+| 0.0436        | 16.0  | 2400 | 3.2100          |
+| 0.048         | 17.0  | 2550 | 3.3084          |
+| 0.0396        | 18.0  | 2700 | 3.3839          |
+| 0.0402        | 19.0  | 2850 | 3.4183          |
+| 0.036         | 20.0  | 3000 | 3.4534          |
+
+
+### 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:a20b71c384739f6be8b8b678f897f4e2c8536837c38ef79e9e72f3535650e111
+size 160069834

all_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.2452797324322164,
+    "train_runtime": 6351.1677,
+    "train_samples_per_second": 1.889,
+    "train_steps_per_second": 0.472
+}

train_results.json

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+{
+    "epoch": 20.0,
+    "train_loss": 0.2452797324322164,
+    "train_runtime": 6351.1677,
+    "train_samples_per_second": 1.889,
+    "train_steps_per_second": 0.472
+}