Model save

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README.md

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+---
+license: gemma
+base_model: ale-bay/zephyr-2b-gemma-sft
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: zephyr-2b-gemma-sft-dpo
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://zebra.wandb.io/cto/distillm/runs/shrbgd04)
+# zephyr-2b-gemma-sft-dpo
+
+This model is a fine-tuned version of [ale-bay/zephyr-2b-gemma-sft](https://huggingface.co/ale-bay/zephyr-2b-gemma-sft) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5960
+- Rewards/chosen: 0.2261
+- Rewards/rejected: -0.0336
+- Rewards/accuracies: 0.7188
+- Rewards/margins: 0.2597
+- Logps/rejected: -363.7130
+- Logps/chosen: -363.7419
+- Logits/rejected: -15.9487
+- Logits/chosen: -16.5860
+
+## 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: 5e-07
+- train_batch_size: 2
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- 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: 2
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5725        | 1.8957 | 100  | 0.5960          | 0.2261         | -0.0336          | 0.7188             | 0.2597          | -363.7130      | -363.7419    | -15.9487        | -16.5860      |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

all_results.json

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+    "total_flos": 0.0,
+    "train_loss": 0.6262502945386447,
+    "train_runtime": 431.1142,
+    "train_samples": 6750,
+    "train_samples_per_second": 31.314,
+    "train_steps_per_second": 0.241
+}

config.json

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+  "architectures": [
+    "GemmaForCausalLM"
+  ],
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+  "head_dim": 256,
+  "hidden_act": "gelu",
+  "hidden_activation": "gelu_pytorch_tanh",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 16384,
+  "max_position_embeddings": 8192,
+  "model_type": "gemma",
+  "num_attention_heads": 8,
+  "num_hidden_layers": 18,
+  "num_key_value_heads": 1,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.42.3",
+  "use_cache": false,
+  "vocab_size": 256000
+}

generation_config.json

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+  "transformers_version": "4.42.3"
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