Model save

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+base_model: microsoft/phi-2
+model-index:
+- name: phi-2-sft-lora-ultrachat
+  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. -->
+
+# phi-2-sft-lora-ultrachat
+
+This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2043
+
+## 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: 2e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.2257        | 1.0   | 3996  | 1.2098          |
+| 1.1658        | 2.0   | 7993  | 1.2050          |
+| 1.2092        | 3.0   | 11988 | 1.2043          |
+
+
+### Framework versions
+
+- PEFT 0.7.1
+- Transformers 4.36.2
+- Pytorch 2.1.2+cu118
+- Datasets 2.14.6
+- Tokenizers 0.15.2

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all_results.json

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+    "eval_steps_per_second": 1.002,
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+    "train_samples": 207865,
+    "train_samples_per_second": 5.582,
+    "train_steps_per_second": 0.087
+}

eval_results.json

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+{
+    "epoch": 3.0,
+    "eval_loss": 1.2043143510818481,
+    "eval_runtime": 1766.7333,
+    "eval_samples": 23110,
+    "eval_samples_per_second": 16.022,
+    "eval_steps_per_second": 1.002
+}

runs/Mar11_17-49-21_gpu4-119-4/events.out.tfevents.1710139808.gpu4-119-4.3871071.0

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train_results.json

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+{
+    "epoch": 3.0,
+    "train_loss": 1.2296489907933905,
+    "train_runtime": 137473.834,
+    "train_samples": 207865,
+    "train_samples_per_second": 5.582,
+    "train_steps_per_second": 0.087
+}