Model save

README.md

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+---
+library_name: transformers
+license: other
+base_model: apple/OpenELM-1_1B
+tags:
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: OpenELM-1_1B-SFT-3
+  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. -->
+
+# OpenELM-1_1B-SFT-3
+
+This model is a fine-tuned version of [apple/OpenELM-1_1B](https://huggingface.co/apple/OpenELM-1_1B) 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 4
+- total_train_batch_size: 64
+- total_eval_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: 3
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.3.0
+- Datasets 2.21.0
+- Tokenizers 0.19.1

all_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 648076339445760.0,
+    "train_loss": 1.1352002231165133,
+    "train_runtime": 23571.371,
+    "train_samples": 207864,
+    "train_samples_per_second": 18.589,
+    "train_steps_per_second": 0.291
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.44.2"
+}

train_results.json

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+{
+    "epoch": 3.0,
+    "total_flos": 648076339445760.0,
+    "train_loss": 1.1352002231165133,
+    "train_runtime": 23571.371,
+    "train_samples": 207864,
+    "train_samples_per_second": 18.589,
+    "train_steps_per_second": 0.291
+}