chansung commited on
Commit
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End of training

Browse files
README.md CHANGED
@@ -1,10 +1,11 @@
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  ---
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  base_model: google/gemma-7b
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  datasets:
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- - generator
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  library_name: peft
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  license: gemma
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  tags:
 
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  - trl
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  - sft
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  - generated_from_trainer
@@ -18,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # gemma7b-gpt4o_1k_summarize-lora
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- This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the generator dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.3456
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  ---
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  base_model: google/gemma-7b
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  datasets:
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+ - llama-duo/synth_summarize_dataset_dedup
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  library_name: peft
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  license: gemma
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  tags:
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+ - alignment-handbook
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  - trl
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  - sft
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  - generated_from_trainer
 
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  # gemma7b-gpt4o_1k_summarize-lora
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+ This model is a fine-tuned version of [google/gemma-7b](https://huggingface.co/google/gemma-7b) on the llama-duo/synth_summarize_dataset_dedup dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 2.3456
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all_results.json CHANGED
@@ -1,5 +1,10 @@
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  {
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  "total_flos": 6.008617478547046e+17,
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  "train_loss": 1.5171029353948178,
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  "train_runtime": 9750.6774,
 
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  {
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  "epoch": 0.9996810207336523,
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+ "eval_loss": 2.3456168174743652,
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+ "eval_runtime": 2.7039,
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+ "eval_samples": 25,
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+ "eval_samples_per_second": 3.698,
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+ "eval_steps_per_second": 0.74,
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  "total_flos": 6.008617478547046e+17,
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  "train_loss": 1.5171029353948178,
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  "train_runtime": 9750.6774,
config.json ADDED
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+ {
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+ "_name_or_path": "google/gemma-7b",
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+ "architectures": [
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+ "GemmaForCausalLM"
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+ "bos_token_id": 2,
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+ "hidden_activation": "gelu_pytorch_tanh",
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+ "model_type": "gemma",
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+ "_load_in_4bit": false,
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+ "_load_in_8bit": true,
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+ "bnb_4bit_compute_dtype": "float32",
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+ "bnb_4bit_quant_storage": "uint8",
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+ "bnb_4bit_quant_type": "fp4",
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+ "bnb_4bit_use_double_quant": false,
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+ "llm_int8_enable_fp32_cpu_offload": false,
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+ "llm_int8_skip_modules": null,
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+ "llm_int8_threshold": 6.0,
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+ "load_in_4bit": false,
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+ "load_in_8bit": true,
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+ "quant_method": "bitsandbytes"
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+ },
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+ "rms_norm_eps": 1e-06,
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+ "rope_scaling": null,
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+ "rope_theta": 10000.0,
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+ "transformers_version": "4.44.2",
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+ "use_cache": true,
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+ "vocab_size": 256000
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+ }
eval_results.json ADDED
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+ {
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+ "epoch": 0.9996810207336523,
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+ "eval_loss": 2.3456168174743652,
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+ "eval_runtime": 2.7039,
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+ "eval_samples": 25,
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+ "eval_samples_per_second": 3.698,
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+ "eval_steps_per_second": 0.74
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+ }
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