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Fine-tuned on python

Model Details

Model Description

Model Sources [optional]

Gemma-2b trained on python-oasst dataset

Uses

Training Details

Training Data

{ "_timestamp": 1711018613.433522, "train/grad_norm": 0.1240904619429259, "train/global_step": 232, "eval/steps_per_second": 2.894, "_step": 232, "_runtime": 2545.4226660728455, "eval/loss": 1.189491629600525, "eval/runtime": 1805.8574, "train/learning_rate": 0.000014800637958532697, "eval/samples_per_second": 23.152, "_wandb.runtime": 2547, "train/loss": 1.0436, "train/epoch": 0.01 }

Results

Summary

Technical Specifications [optional]

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null, "value": "steps" }, "num_train_epochs": { "desc": null, "value": 8 }, "save_safetensors": { "desc": null, "value": true }, "save_total_limit": { "desc": null, "value": 4 }, "attention_dropout": { "desc": null, "value": 0 }, "ddp_bucket_cap_mb": { "desc": null, "value": null }, "diversity_penalty": { "desc": null, "value": 0 }, "do_causal_lm_eval": { "desc": null, "value": false }, "greater_is_better": { "desc": null, "value": false }, "initializer_range": { "desc": null, "value": 0.02 }, "intermediate_size": { "desc": null, "value": 16384 }, "log_level_replica": { "desc": null, "value": "warning" }, "loraplus_lr_ratio": { "desc": null, "value": null }, "lr_scheduler_type": { "desc": null, "value": "cosine" }, "max_bench_samples": { "desc": null, "value": null }, "num_hidden_layers": { "desc": null, "value": 18 }, "output_attentions": { "desc": null, "value": false }, "push_to_hub_token": { "desc": null, "value": "" }, "save_on_each_node": { "desc": null, "value": false }, "tpu_metrics_debug": { "desc": null, "value": false }, "accelerator_config": { "desc": null, "value": { "even_batches": true, "split_batches": false, "dispatch_batches": null, "use_seedable_sampler": true } }, "is_encoder_decoder": { "desc": null, "value": false }, "length_column_name": { "desc": null, "value": "length" }, "logging_first_step": { "desc": null, "value": false }, "relora_prune_ratio": { "desc": null, "value": 0.9 }, "repetition_penalty": { "desc": null, "value": 1 }, "torch_compile_mode": { "desc": null, "value": null }, "add_cross_attention": { "desc": null, "value": false }, "cosine_min_lr_ratio": { "desc": null, "value": null }, "eval_sample_packing": { "desc": null, "value": false }, "evaluation_strategy": { "desc": null, "value": "steps" }, "forced_bos_token_id": { "desc": null, "value": null }, "forced_eos_token_id": { "desc": null, "value": null }, "fsdp_min_num_params": { "desc": null, "value": 0 }, "lr_quadratic_warmup": { "desc": null, "value": false }, 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"value": false }, "remove_unused_columns": { "desc": null, "value": true }, "torch_compile_backend": { "desc": null, "value": null }, "dataloader_num_workers": { "desc": null, "value": 0 }, "decoder_start_token_id": { "desc": null, "value": null }, "gradient_checkpointing": { "desc": null, "value": true }, "half_precision_backend": { "desc": null, "value": "auto" }, "label_smoothing_factor": { "desc": null, "value": 0 }, "load_best_model_at_end": { "desc": null, "value": true }, "logging_nan_inf_filter": { "desc": null, "value": true }, "multipack_real_batches": { "desc": null, "value": false }, "resume_from_checkpoint": { "desc": null, "value": null }, "chunk_size_feed_forward": { "desc": null, "value": 0 }, "eval_accumulation_steps": { "desc": null, "value": 3 }, "max_position_embeddings": { "desc": null, "value": 8192 }, "per_gpu_eval_batch_size": { "desc": null, "value": null }, "return_dict_in_generate": { "desc": null, "value": false }, "cosine_constant_lr_ratio": { "desc": null, "value": null }, "per_gpu_train_batch_size": { "desc": null, "value": null }, "push_to_hub_organization": { "desc": null, "value": null }, "include_tokens_per_second": { "desc": null, "value": false }, "sample_packing_efficiency": { "desc": null, "value": 1 }, "dataloader_prefetch_factor": { "desc": null, "value": null }, "ddp_find_unused_parameters": { "desc": null, "value": false }, "include_inputs_for_metrics": { "desc": null, "value": false }, "per_device_eval_batch_size": { "desc": null, "value": 2 }, "use_legacy_prediction_loop": { "desc": null, "value": false }, "cross_attention_hidden_size": { "desc": null, "value": null }, "gradient_accumulation_steps": { "desc": null, "value": 3 }, "per_device_train_batch_size": { "desc": null, "value": 2 }, "encoder_no_repeat_ngram_size": { "desc": null, "value": 0 }, "dataloader_persistent_workers": { "desc": null, "value": false }, "gradient_checkpointing_kwargs": { "desc": null, "value": { "use_reentrant": true } }, "include_num_input_tokens_seen": { "desc": null, "value": false }, "exponential_decay_length_penalty": { "desc": null, "value": null }, "sample_packing_seq_len_multiplier": { "desc": null, "value": 2 }, "fsdp_transformer_layer_cls_to_wrap": { "desc": null, "value": null } }

Model Architecture and Objective

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Framework versions

  • PEFT 0.9.0
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