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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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"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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"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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Model tree for dvdmrs09/gemma-7b-it-python2
Base model
google/gemma-2b