Model save

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README.md

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+---
+license: gemma
+base_model: google/gemma-2-9b
+tags:
+- trl
+- sft
+- generated_from_trainer
+model-index:
+- name: zephyr-gemma-2-9b-sft-flash
+ 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. -->
+
+# zephyr-gemma-2-9b-sft-flash
+
+This model is a fine-tuned version of [google/gemma-2-9b](https://huggingface.co/google/gemma-2-9b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8464
+
+## 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: 3e-06
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- 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: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.8289 | 1.0 | 1624 | 0.8464 |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.4.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

all_results.json

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+ "train_runtime": 26490.5415,
+ "train_samples": 207864,
+ "train_samples_per_second": 7.847,
+ "train_steps_per_second": 0.061
+}

config.json

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+ ],
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+ "head_dim": 256,
+ "hidden_act": "gelu_pytorch_tanh",
+ "hidden_activation": "gelu_pytorch_tanh",
+ "hidden_size": 3584,
+ "initializer_range": 0.02,
+ "intermediate_size": 14336,
+ "max_position_embeddings": 8192,
+ "model_type": "gemma2",
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+ "rope_theta": 10000.0,
+ "sliding_window": 4096,
+ "sliding_window_size": 4096,
+ "torch_dtype": "bfloat16",
+ "transformers_version": "4.45.0.dev0",
+ "use_cache": false,
+ "vocab_size": 256000
+}

generation_config.json

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+ "transformers_version": "4.45.0.dev0"
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