End of training

README.md

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+---
+base_model: huggyllama/llama-13b
+library_name: peft
+license: other
+tags:
+- generated_from_trainer
+model-index:
+- name: llama-13b_oasst1_l0.0002_32-8-8-8-8
+  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-13b_oasst1_l0.0002_32-8-8-8-8
+
+This model is a fine-tuned version of [huggyllama/llama-13b](https://huggingface.co/huggyllama/llama-13b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.5115
+
+## 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: 1875
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.4264        | 0.0018 | 1    | 1.5678          |
+| 1.4263        | 0.3392 | 187  | 1.2365          |
+| 1.0712        | 0.6783 | 374  | 1.2313          |
+| 1.2232        | 1.0175 | 561  | 1.2366          |
+| 0.9766        | 1.3566 | 748  | 1.2977          |
+| 0.983         | 1.6958 | 935  | 1.2653          |
+| 0.5607        | 2.0349 | 1122 | 1.3461          |
+| 0.7534        | 2.3741 | 1309 | 1.3852          |
+| 0.5426        | 2.7132 | 1496 | 1.4808          |
+| 0.2964        | 3.0524 | 1683 | 1.5780          |
+| 0.3246        | 3.3915 | 1870 | 1.4927          |
+
+
+### 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

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+{
+    "epoch": 3.4005894355021535,
+    "eval_loss": 1.511498212814331,
+    "eval_runtime": 331.6938,
+    "eval_samples_per_second": 3.015,
+    "eval_steps_per_second": 3.015,
+    "total_flos": 8.246064732932506e+17,
+    "train_loss": 0.8989817124764125,
+    "train_runtime": 128394.3068,
+    "train_samples_per_second": 0.234,
+    "train_steps_per_second": 0.015
+}

eval_results.json

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+{
+    "epoch": 3.4005894355021535,
+    "eval_loss": 1.511498212814331,
+    "eval_runtime": 331.6938,
+    "eval_samples_per_second": 3.015,
+    "eval_steps_per_second": 3.015
+}

metrics.json

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+{"run_name": "huggyllama/llama-13b_oasst1_l0.0002_32,8,8,8,8", "train_runtime": 128394.3068, "train_samples_per_second": 0.234, "train_steps_per_second": 0.015, "total_flos": 8.246064732932506e+17, "train_loss": 0.8989817124764125, "epoch": 3.4005894355021535, "eval_loss": 1.511498212814331, "eval_runtime": 331.6938, "eval_samples_per_second": 3.015, "eval_steps_per_second": 3.015}

train_results.json

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+{
+    "epoch": 3.4005894355021535,
+    "total_flos": 8.246064732932506e+17,
+    "train_loss": 0.8989817124764125,
+    "train_runtime": 128394.3068,
+    "train_samples_per_second": 0.234,
+    "train_steps_per_second": 0.015
+}