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Model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
Source: Original Platform

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README.md

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+---
+license: other
+license_name: gemma-terms-of-use
+license_link: https://ai.google.dev/gemma/terms
+base_model: google/gemma-7b
+tags:
+- alignment-handbook
+- trl
+- sft
+- generated_from_trainer
+- trl
+- sft
+- generated_from_trainer
+datasets:
+- HuggingFaceH4/deita-10k-v0-sft
+model-index:
+- name: zephyr-7b-gemma-sft
+  results: []
+language:
+- en
+---
+
+<!-- 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-7b-gemma-sft
+
+This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the HuggingFaceH4/deita-10k-v0-sft dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9732
+
+## 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: 16
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 128
+- total_eval_batch_size: 64
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9482        | 1.0   | 299  | 0.9848          |
+| 0.8139        | 2.0   | 599  | 0.9610          |
+| 0.722         | 2.99  | 897  | 0.9732          |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.1.2+cu121
+- Datasets 2.14.6
+- Tokenizers 0.15.1

all_results.json

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+{
+    "epoch": 2.99,
+    "eval_loss": 0.973169207572937,
+    "eval_runtime": 22.1864,
+    "eval_samples": 500,
+    "eval_samples_per_second": 86.224,
+    "eval_steps_per_second": 1.352,
+    "train_loss": 1.0022602648772259,
+    "train_runtime": 5184.357,
+    "train_samples": 9500,
+    "train_samples_per_second": 22.178,
+    "train_steps_per_second": 0.173
+}

config.json

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+{
+  "_name_or_path": "google/gemma-7b",
+  "architectures": [
+    "GemmaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "head_dim": 256,
+  "hidden_act": "gelu",
+  "hidden_size": 3072,
+  "initializer_range": 0.02,
+  "intermediate_size": 24576,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 16,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.39.0.dev0",
+  "use_cache": true,
+  "vocab_size": 256000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

eval_results.json

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+    "eval_loss": 0.973169207572937,
+    "eval_runtime": 22.1864,
+    "eval_samples": 500,
+    "eval_samples_per_second": 86.224,
+    "eval_steps_per_second": 1.352
+}

generation_config.json

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+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.39.0.dev0"
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