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tinyllama-reddit-cph-finetuned

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FirstLast/tinyllama-reddit-cph-lora-finetuned-2

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Files changed (7) hide show
  1. README.md +2 -2
  2. adapter_config.json +4 -4
  3. adapter_model.safetensors +2 -2
  4. runs/Dec28_11-05-18_b5e8c1a87a22/events.out.tfevents.1703761528.b5e8c1a87a22.787.0 +3 -0
  5. runs/Dec28_11-49-22_b5e8c1a87a22/events.out.tfevents.1703764168.b5e8c1a87a22.787.1 +3 -0
  6. runs/Dec28_12-00-25_b5e8c1a87a22/events.out.tfevents.1703764828.b5e8c1a87a22.787.2 +3 -0
  7. training_args.bin +1 -1
README.md CHANGED
@@ -37,7 +37,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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  - train_batch_size: 2
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  - eval_batch_size: 8
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  - seed: 42
@@ -46,7 +46,7 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_steps: 100
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- - training_steps: 500
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.001
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  - train_batch_size: 2
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  - eval_batch_size: 8
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  - seed: 42
 
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: cosine
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  - lr_scheduler_warmup_steps: 100
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+ - training_steps: 1000
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  - mixed_precision_training: Native AMP
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  ### Training results
adapter_config.json CHANGED
@@ -9,18 +9,18 @@
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  "layers_pattern": null,
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  "loftq_config": {},
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- "lora_alpha": 32,
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  "lora_dropout": 0.05,
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  "megatron_core": "megatron.core",
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  "peft_type": "LORA",
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  "target_modules": [
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  "task_type": "CAUSAL_LM",
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  "use_rslora": false
 
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  "megatron_core": "megatron.core",
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  "peft_type": "LORA",
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_rslora": false
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