Model save

README.md

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+---
+license: gemma
+library_name: peft
+tags:
+- trl
+- sft
+- generated_from_trainer
+base_model: google/gemma-2b
+model-index:
+- name: unaligned
+  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. -->
+
+# unaligned
+
+This model is a fine-tuned version of [google/gemma-2b](https://huggingface.co/google/gemma-2b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
+
+## 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: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 4
+- training_steps: 8
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 0.0           | 0.0006 | 8    | nan             |
+
+
+### Framework versions
+
+- PEFT 0.11.1
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 0.0005544389770600873,
+    "total_flos": 91605637939200.0,
+    "train_loss": 0.0,
+    "train_runtime": 5888.6799,
+    "train_samples_per_second": 0.005,
+    "train_steps_per_second": 0.001
+}

train_results.json

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+{
+    "epoch": 0.0005544389770600873,
+    "total_flos": 91605637939200.0,
+    "train_loss": 0.0,
+    "train_runtime": 5888.6799,
+    "train_samples_per_second": 0.005,
+    "train_steps_per_second": 0.001
+}