End of training

README.md

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+---
+tags:
+- trl
+- sft
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: asset-generation-sft-qlora
+  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. -->
+
+# asset-generation-sft-qlora
+
+This model was trained from scratch on the generator dataset.
+
+## 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: 16
+- eval_batch_size: 32
+- seed: 42
+- distributed_type: multi-GPU
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.41.0.dev0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

all_results.json

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+    "epoch": 0.8844339622641509,
+    "total_flos": 1.393076937424896e+19,
+    "train_loss": 0.0,
+    "train_runtime": 0.0093,
+    "train_samples": 100,
+    "train_samples_per_second": 0.0,
+    "train_steps_per_second": 0.0
+}

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train_results.json

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+{
+    "epoch": 0.8844339622641509,
+    "total_flos": 1.393076937424896e+19,
+    "train_loss": 0.0,
+    "train_runtime": 0.0093,
+    "train_samples": 100,
+    "train_samples_per_second": 0.0,
+    "train_steps_per_second": 0.0
+}