Model save

.gitattributes

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README.md

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+---
+license: gemma
+base_model: google/gemma-7b
+tags:
+- trl
+- sft
+- alignment-handbook
+- generated_from_trainer
+datasets:
+- generator
+model-index:
+- name: gemma-backtrack-0522
+  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://wandb.ai/wandbruh/huggingface/runs/rbd699hg)
+# gemma-backtrack-0522
+
+This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
+It achieves the following results on the evaluation set:
+- Loss: 24.1739
+
+## 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: 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: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss |
+|:-------------:|:------:|:----:|:---------------:|
+| 63.281        | 0.8571 | 3    | 31.5266         |
+| 53.4745       | 2.0    | 7    | 24.9424         |
+| 53.4745       | 2.5714 | 9    | 24.1739         |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

all_results.json

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+    "eval_loss": 24.174694061279297,
+    "eval_runtime": 0.8465,
+    "eval_samples": 412,
+    "eval_samples_per_second": 24.807,
+    "eval_steps_per_second": 1.181,
+    "total_flos": 2409879306240.0,
+    "train_loss": 42.46108203464084,
+    "train_runtime": 161.2984,
+    "train_samples": 8284,
+    "train_samples_per_second": 7.812,
+    "train_steps_per_second": 0.056
+}

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_activation": "gelu_pytorch_tanh",
+  "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": "4.41.0",
+  "use_cache": false,
+  "vocab_size": 256000
+}

eval_results.json

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+{
+    "epoch": 2.571428571428571,
+    "eval_loss": 24.174694061279297,
+    "eval_runtime": 0.8465,
+    "eval_samples": 412,
+    "eval_samples_per_second": 24.807,
+    "eval_steps_per_second": 1.181
+}

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": "4.41.0"
+}

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