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README.md

@@ -0,0 +1,61 @@
+---
+license: other
+base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
+tags:
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- argilla/dpo-mix-7k
+model-index:
+- name: zephyr-7b-gemma-adaptive_blended_loss_with_temperature_scaling
+  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-7b-gemma-adaptive_blended_loss_with_temperature_scaling
+
+This model is a fine-tuned version of [HuggingFaceH4/zephyr-7b-gemma-sft-v0.1](https://huggingface.co/HuggingFaceH4/zephyr-7b-gemma-sft-v0.1) on the argilla/dpo-mix-7k 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: 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
+
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.1.2+cu121
+- Datasets 2.19.0
+- Tokenizers 0.19.1

all_results.json

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+    "eval_rewards/accuracies": 0.7083333134651184,
+    "eval_rewards/chosen": 0.651279628276825,
+    "eval_rewards/margins": 0.8597357869148254,
+    "eval_rewards/rejected": -0.2084561139345169,
+    "eval_runtime": 119.3843,
+    "eval_samples": 750,
+    "eval_samples_per_second": 6.282,
+    "eval_steps_per_second": 0.201,
+    "total_flos": 0.0,
+    "train_loss": 528876699520.6585,
+    "train_runtime": 2168.869,
+    "train_samples": 6750,
+    "train_samples_per_second": 6.224,
+    "train_steps_per_second": 0.048
+}

config.json

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+  "_name_or_path": "HuggingFaceH4/zephyr-7b-gemma-sft-v0.1",
+  "architectures": [
+    "GemmaForCausalLM"
+  ],
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+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "head_dim": 256,
+  "hidden_act": "gelu",
+  "hidden_activation": null,
+  "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": "4.40.1",
+  "use_cache": true,
+  "vocab_size": 256000
+}

eval_results.json

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+    "eval_loss": 0.6211811304092407,
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+    "eval_rewards/margins": 0.8597357869148254,
+    "eval_rewards/rejected": -0.2084561139345169,
+    "eval_runtime": 119.3843,
+    "eval_samples": 750,
+    "eval_samples_per_second": 6.282,
+    "eval_steps_per_second": 0.201
+}

generation_config.json

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+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.40.1"
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+oid sha256:7d9d1efb9e0516526c61a9e2575b9f73d109fd43f6077c70238a4c2bf69114a4
+size 6328