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End of training
Browse files- README.md +7 -9
- config.json +1 -1
- logs/events.out.tfevents.1702955299.f861084c800d.26.0 +3 -0
- model.safetensors +1 -1
- trainer_state.json +17 -3
README.md
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---
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license: mit
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base_model: gpt2
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tags:
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- generated_from_trainer
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model-index:
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@@ -13,14 +11,14 @@ should probably proofread and complete it, then remove this comment. -->
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# food-recipe-generation
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This model
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It achieves the following results on the evaluation set:
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- eval_loss:
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- eval_runtime:
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- eval_samples_per_second: 111.
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- eval_steps_per_second: 1.
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- epoch:
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- step:
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## Model description
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---
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tags:
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- generated_from_trainer
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model-index:
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# food-recipe-generation
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This model was trained from scratch on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.9693
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- eval_runtime: 1995.4615
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- eval_samples_per_second: 111.811
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- eval_steps_per_second: 1.747
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- epoch: 1.59
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- step: 100000
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## Model description
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config.json
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{
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"_name_or_path": "
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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{
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"_name_or_path": "/kaggle/working/food-recipe-generation",
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"activation_function": "gelu_new",
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"architectures": [
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"GPT2LMHeadModel"
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logs/events.out.tfevents.1702955299.f861084c800d.26.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:903645a666d79f54bb6d9837684ceffc1d0a9ecd70e75689469dbfbcc2a108aa
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size 5099
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 497918592
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version https://git-lfs.github.com/spec/v1
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oid sha256:af09b0cb96c80ba2c2efbb742971e5d8d3f924752b6de7ace4783c83116d6d77
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size 497918592
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch":
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"global_step":
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"eval_samples_per_second": 111.193,
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"eval_steps_per_second": 1.738,
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"step": 50000
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}
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],
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"logging_steps": 50000,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 500,
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"save_steps": 50000,
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"total_flos":
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"global_step": 100000,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"eval_samples_per_second": 111.193,
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"eval_steps_per_second": 1.738,
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"step": 50000
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{
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"epoch": 1.59,
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"learning_rate": 4.992035346050262e-05,
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"loss": 1.0123,
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"step": 100000
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{
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"epoch": 1.59,
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"eval_loss": 0.9693423509597778,
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"eval_runtime": 1995.4615,
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"eval_samples_per_second": 111.811,
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"eval_steps_per_second": 1.747,
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"step": 100000
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}
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"logging_steps": 50000,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 500,
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"save_steps": 50000,
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"total_flos": 2.0903329898496e+17,
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"train_batch_size": 32,
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