per_device_eval_batch_size
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per_device_eval_batch_size has 6 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
Mostly:rdf:type(2), parameter value(1), is subparameter of(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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hasParameterHas Parameter(2)
- Training Args
ex:training-args - Training Arguments
ex:training-arguments
has-parameterHas Parameter(1)
- Training Arguments
ex:training-arguments
has-subparameterHas Subparameter(1)
- Batch Size
ex:batch-size
Other facts (5)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Batch Size Parameter | [2] |
| Rdf:type | Evaluation Parameter | [3] |
| Parameter Value | 8 | [1] |
| Is Subparameter of | Batch Size | [3] |
| Has Suggested Value Range | 16 to 32 | [3] |
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References (3)
ctx:claims/beam/9500e1c6-ed0c-41a2-ace0-794604c62109- full textbeam-chunktext/plain1 KB
doc:beam/9500e1c6-ed0c-41a2-ace0-794604c62109Show excerpt
- **Strategy**: Use `True` if your hardware supports it (e.g., NVIDIA GPUs with Tensor Cores). ### Example Configuration Here's an example configuration for fine-tuning Llama 2 13B: ```python from transformers import LlamaForCausalLM…
ctx:claims/beam/018e6829-a4ce-4a26-9be8-6d8ad3231779- full textbeam-chunktext/plain1 KB
doc:beam/018e6829-a4ce-4a26-9be8-6d8ad3231779Show excerpt
# Define training arguments training_args = TrainingArguments( output_dir='./results', num_train_epochs=3, per_device_train_batch_size=16, per_device_eval_batch_size=16, warmup_steps=500, weight_decay=0.01, loggi…
ctx:claims/beam/1714914a-4272-4b7c-91df-6c89df9429f8- full textbeam-chunktext/plain1 KB
doc:beam/1714914a-4272-4b7c-91df-6c89df9429f8Show excerpt
- **Reason**: More epochs can lead to overfitting, but fewer epochs might not be enough for the model to learn the data well. 2. **Batch Size (`per_device_train_batch_size` and `per_device_eval_batch_size`)**: - **Suggested Value**: …
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