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_32-16-16
+  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_32-16-16
+
+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: 1.4460
+
+## 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: 0
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 1.4264        | 0.0018 | 1    | 1.5989          |
+| 1.4266        | 0.3392 | 187  | 1.2378          |
+| 1.0755        | 0.6783 | 374  | 1.2315          |
+| 1.2773        | 1.0175 | 561  | 1.2332          |
+| 1.0179        | 1.3566 | 748  | 1.2746          |
+| 1.0697        | 1.6958 | 935  | 1.2476          |
+| 0.6869        | 2.0349 | 1122 | 1.3035          |
+| 0.8759        | 2.3741 | 1309 | 1.3394          |
+| 0.5938        | 2.7132 | 1496 | 1.4125          |
+
+
+### 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": 2.997959646338699,
+    "eval_loss": 1.4460002183914185,
+    "eval_runtime": 317.8144,
+    "eval_samples_per_second": 3.146,
+    "eval_steps_per_second": 3.146,
+    "total_flos": 7.23522717038592e+17,
+    "train_loss": 1.0301022694749826,
+    "train_runtime": 94833.8575,
+    "train_samples_per_second": 0.279,
+    "train_steps_per_second": 0.017
+}

eval_results.json

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+{
+    "epoch": 2.997959646338699,
+    "eval_loss": 1.4460002183914185,
+    "eval_runtime": 317.8144,
+    "eval_samples_per_second": 3.146,
+    "eval_steps_per_second": 3.146
+}

metrics.json

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+{"run_name": "huggyllama/llama-13b_oasst1_l0.0002_32,16,16", "train_runtime": 94833.8575, "train_samples_per_second": 0.279, "train_steps_per_second": 0.017, "total_flos": 7.23522717038592e+17, "train_loss": 1.0301022694749826, "epoch": 2.997959646338699, "eval_loss": 1.4460002183914185, "eval_runtime": 317.8144, "eval_samples_per_second": 3.146, "eval_steps_per_second": 3.146}

train_results.json

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+{
+    "epoch": 2.997959646338699,
+    "total_flos": 7.23522717038592e+17,
+    "train_loss": 1.0301022694749826,
+    "train_runtime": 94833.8575,
+    "train_samples_per_second": 0.279,
+    "train_steps_per_second": 0.017
+}