GaetanMichelet commited on
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1 Parent(s): 0abf6ce

End of training

Browse files
README.md CHANGED
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  ---
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  base_model: google/gemma-2-2b-it
 
 
 
 
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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
@@ -16,9 +21,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # Gemma-2-2B_task-2_180-samples_config-1_full
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- This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1319
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  ## Model description
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  ---
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  base_model: google/gemma-2-2b-it
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+ datasets:
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+ - GaetanMichelet/chat-60_ft_task-2
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+ - GaetanMichelet/chat-120_ft_task-2
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+ - GaetanMichelet/chat-180_ft_task-2
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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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  # Gemma-2-2B_task-2_180-samples_config-1_full
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+ This model is a fine-tuned version of [google/gemma-2-2b-it](https://huggingface.co/google/gemma-2-2b-it) on the GaetanMichelet/chat-60_ft_task-2, the GaetanMichelet/chat-120_ft_task-2 and the GaetanMichelet/chat-180_ft_task-2 datasets.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8685
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  ## Model description
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all_results.json CHANGED
@@ -1,5 +1,10 @@
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  {
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  "epoch": 13.0,
 
 
 
 
 
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  "total_flos": 5.79219938649047e+16,
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  "train_loss": 0.77317684969751,
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  "train_runtime": 2461.5487,
 
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  {
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  "epoch": 13.0,
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+ "eval_loss": 0.8685290217399597,
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+ "eval_runtime": 13.9107,
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+ "eval_samples": 36,
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+ "eval_samples_per_second": 2.588,
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+ "eval_steps_per_second": 2.588,
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  "total_flos": 5.79219938649047e+16,
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  "train_loss": 0.77317684969751,
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  "train_runtime": 2461.5487,
config.json ADDED
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+ {
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+ "_name_or_path": "google/gemma-2-2b-it",
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+ "architectures": [
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+ "Gemma2ForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "attn_logit_softcapping": 50.0,
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+ "bos_token_id": 2,
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+ "cache_implementation": "hybrid",
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+ "eos_token_id": [
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+ 1,
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+ 107
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+ ],
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+ "final_logit_softcapping": 30.0,
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+ "head_dim": 256,
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+ "hidden_act": "gelu_pytorch_tanh",
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+ "hidden_activation": "gelu_pytorch_tanh",
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+ "hidden_size": 2304,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 9216,
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+ "max_position_embeddings": 8192,
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+ "model_type": "gemma2",
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+ "num_attention_heads": 8,
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+ "num_hidden_layers": 26,
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+ "num_key_value_heads": 4,
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+ "pad_token_id": 0,
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+ "quantization_config": {
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+ "_load_in_4bit": true,
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+ "_load_in_8bit": false,
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+ "bnb_4bit_compute_dtype": "bfloat16",
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+ "bnb_4bit_quant_storage": "uint8",
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+ "bnb_4bit_quant_type": "nf4",
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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_has_fp16_weight": 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": true,
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+ "load_in_8bit": false,
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+ "quant_method": "bitsandbytes"
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+ },
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+ "query_pre_attn_scalar": 256,
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+ "rms_norm_eps": 1e-06,
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+ "rope_theta": 10000.0,
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+ "sliding_window": 4096,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.44.0",
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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": 13.0,
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+ "eval_loss": 0.8685290217399597,
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+ "eval_runtime": 13.9107,
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+ "eval_samples": 36,
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+ "eval_samples_per_second": 2.588,
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+ "eval_steps_per_second": 2.588
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+ }
runs/Aug27_14-51-43_9mqd6r3-l/events.out.tfevents.1724765603.9mqd6r3-l.3738861.1 ADDED
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+ size 359