Model save

.gitattributes

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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+license: other
+base_model: HuggingFaceH4/zephyr-7b-gemma-sft-v0.1
+tags:
+- trl
+- dpo
+- choo-choo
+- generated_from_trainer
+model-index:
+- name: zephyr-gemma-dpo-faithful
+  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-dpo-faithful
+
+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 an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4498
+- Rewards/chosen: -1.7969
+- Rewards/rejected: -3.5156
+- Rewards/accuracies: 0.7394
+- Rewards/margins: 1.7188
+- Logps/rejected: -476.0
+- Logps/chosen: -388.0
+- Logits/rejected: 89.5
+- Logits/chosen: 87.0
+
+## 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: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- lr_scheduler_warmup_steps: 100
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5155        | 0.95  | 100  | 0.5003          | -1.2422        | -2.5156          | 0.6862             | 1.2656          | -456.0         | -378.0       | 97.5            | 95.0          |
+| 0.1902        | 1.9   | 200  | 0.4498          | -1.7969        | -3.5156          | 0.7394             | 1.7188          | -476.0         | -388.0       | 89.5            | 87.0          |
+
+
+### Framework versions
+
+- Transformers 4.38.0
+- Pytorch 2.1.1+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.2

all_results.json

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+{
+    "epoch": 1.99,
+    "train_loss": 0.4032986215182713,
+    "train_runtime": 4950.8357,
+    "train_samples_per_second": 2.727,
+    "train_steps_per_second": 0.042
+}

config.json

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+{
+  "_name_or_path": "HuggingFaceH4/zephyr-7b-gemma-sft-v0.1",
+  "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": "4.38.0",
+  "use_cache": false,
+  "vocab_size": 256000
+}

generation_config.json

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+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.38.0"
+}

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