End of training

README.md

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+---
+base_model: meta-llama/Llama-2-7b-hf
+library_name: peft
+license: llama2
+tags:
+- generated_from_trainer
+model-index:
+- name: Llama-2-7b-hf_alpaca-clean_l0.0002_64
+  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-2-7b-hf_alpaca-clean_l0.0002_64
+
+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: 1.6868
+
+## 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: 0.0002
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 0
+- gradient_accumulation_steps: 16
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant
+- lr_scheduler_warmup_ratio: 0.03
+- training_steps: 10000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.0346        | 0.0003 | 1    | 2.3927          |
+| 1.9904        | 0.0590 | 187  | 1.5667          |
+| 1.3058        | 0.1179 | 374  | 1.5624          |
+| 1.0583        | 0.1769 | 561  | 1.5607          |
+| 1.8361        | 0.2359 | 748  | 1.5273          |
+| 1.7038        | 0.2949 | 935  | 1.5075          |
+| 1.2223        | 0.3538 | 1122 | 1.5029          |
+| 1.0661        | 0.4128 | 1309 | 1.5042          |
+| 1.7942        | 0.4718 | 1496 | 1.4753          |
+| 1.5587        | 0.5307 | 1683 | 1.4771          |
+| 1.1685        | 0.5897 | 1870 | 1.4801          |
+| 1.0578        | 0.6487 | 2057 | 1.4936          |
+| 2.2233        | 0.7077 | 2244 | 1.4694          |
+| 1.6078        | 0.7666 | 2431 | 1.4656          |
+| 1.0611        | 0.8256 | 2618 | 1.4765          |
+| 0.9979        | 0.8846 | 2805 | 1.4737          |
+| 2.0584        | 0.9436 | 2992 | 1.4601          |
+| 0.9627        | 1.0025 | 3179 | 1.4579          |
+| 2.3813        | 1.0615 | 3366 | 1.4914          |
+| 1.2986        | 1.1205 | 3553 | 1.4847          |
+| 1.164         | 1.1794 | 3740 | 1.4857          |
+| 0.9181        | 1.2384 | 3927 | 1.4967          |
+| 1.7152        | 1.2974 | 4114 | 1.4807          |
+| 1.0827        | 1.3564 | 4301 | 1.4828          |
+| 0.9565        | 1.4153 | 4488 | 1.4858          |
+| 1.0499        | 1.4743 | 4675 | 1.4932          |
+| 1.838         | 1.5333 | 4862 | 1.4806          |
+| 1.3075        | 1.5922 | 5049 | 1.4770          |
+| 0.9147        | 1.6512 | 5236 | 1.4877          |
+| 0.9353        | 1.7102 | 5423 | 1.4889          |
+| 1.6525        | 1.7692 | 5610 | 1.4757          |
+| 1.0597        | 1.8281 | 5797 | 1.4812          |
+| 0.9384        | 1.8871 | 5984 | 1.4737          |
+| 2.0972        | 1.9461 | 6171 | 1.4749          |
+| 0.8698        | 2.0050 | 6358 | 1.4729          |
+| 0.8746        | 2.0640 | 6545 | 1.6185          |
+| 1.3664        | 2.1230 | 6732 | 1.5706          |
+| 0.8976        | 2.1820 | 6919 | 1.5368          |
+| 0.9512        | 2.2409 | 7106 | 1.5635          |
+| 0.957         | 2.2999 | 7293 | 1.6088          |
+| 1.1006        | 2.3589 | 7480 | 1.5504          |
+| 1.1033        | 2.4178 | 7667 | 1.5426          |
+| 0.9105        | 2.4768 | 7854 | 1.5907          |
+| 1.0444        | 2.5358 | 8041 | 1.5730          |
+| 1.3787        | 2.5948 | 8228 | 1.5404          |
+| 0.9126        | 2.6537 | 8415 | 1.5434          |
+| 0.8307        | 2.7127 | 8602 | 1.5716          |
+| 1.5571        | 2.7717 | 8789 | 1.5673          |
+| 1.1696        | 2.8307 | 8976 | 1.5473          |
+| 0.9802        | 2.8896 | 9163 | 1.5524          |
+| 0.8512        | 2.9486 | 9350 | 1.5740          |
+| 0.6861        | 3.0076 | 9537 | 1.5948          |
+| 0.8245        | 3.0665 | 9724 | 1.6846          |
+| 1.2366        | 3.1255 | 9911 | 1.6969          |
+
+
+### Framework versions
+
+- PEFT 0.12.1.dev0
+- Transformers 4.45.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

all_results.json

@@ -0,0 +1,12 @@
+{
+    "epoch": 3.15357931251971,
+    "eval_loss": 1.6868281364440918,
+    "eval_runtime": 1026.2341,
+    "eval_samples_per_second": 0.974,
+    "eval_steps_per_second": 0.974,
+    "total_flos": 1.1874856871438254e+18,
+    "train_loss": 1.2666936581730843,
+    "train_runtime": 546715.2921,
+    "train_samples_per_second": 0.293,
+    "train_steps_per_second": 0.018
+}

eval_results.json

@@ -0,0 +1,7 @@
+{
+    "epoch": 3.15357931251971,
+    "eval_loss": 1.6868281364440918,
+    "eval_runtime": 1026.2341,
+    "eval_samples_per_second": 0.974,
+    "eval_steps_per_second": 0.974
+}

metrics.json

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+{"run_name": "meta-llama/Llama-2-7b-hf_alpaca-clean_l0.0002_64", "train_runtime": 546715.2921, "train_samples_per_second": 0.293, "train_steps_per_second": 0.018, "total_flos": 1.1874856871438254e+18, "train_loss": 1.2666936581730843, "epoch": 3.15357931251971, "eval_loss": 1.6868281364440918, "eval_runtime": 1026.2341, "eval_samples_per_second": 0.974, "eval_steps_per_second": 0.974}

train_results.json

@@ -0,0 +1,8 @@
+{
+    "epoch": 3.15357931251971,
+    "total_flos": 1.1874856871438254e+18,
+    "train_loss": 1.2666936581730843,
+    "train_runtime": 546715.2921,
+    "train_samples_per_second": 0.293,
+    "train_steps_per_second": 0.018
+}