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453db5cd79
* first commit * uncomment * other tests adaptations * Remove unused variable in test_setup_chat_format * Remove unused import statement * style * Add Bart model * Update BCOTrainerTester class in test_bco_trainer.py * Update model IDs and tokenizers in test files * Add new models and processors * Update model IDs in test files * Fix formatting issue in test_dataset_formatting.py * Refactor dataset formatting in test_dataset_formatting.py * Fix dataset sequence length in SFTTrainerTester * Remove tokenizer * Remove print statement * Add reward_model_path and sft_model_path to PPO trainer * Fix tokenizer padding issue * Add chat template for testing purposes in PaliGemma model * Update PaliGemma model and chat template * Increase learning rate to speed up test * Update model names in run_dpo.sh and run_sft.sh scripts * Update model and dataset names * Fix formatting issue in test_dataset_formatting.py * Fix formatting issue in test_dataset_formatting.py * Remove unused chat template * Update model generation script * additional models * Update model references in test files * Remove unused imports in test_online_dpo_trainer.py * Add is_llm_blender_available import and update reward_tokenizer * Refactor test_online_dpo_trainer.py: Move skipped test case decorator * remove models without chat templates * Update model names in scripts and tests * Update model_id in test_modeling_value_head.py * Update model versions in test files * Fix formatting issue in test_dataset_formatting.py * Update embedding model ID in BCOTrainerTester * Update test_online_dpo_trainer.py with reward model changes * Update expected formatted text in test_dataset_formatting.py * Add reward_tokenizer to TestOnlineDPOTrainer * fix tests * Add SIMPLE_CHAT_TEMPLATE to T5 tokenizer * Fix dummy_text format in test_rloo_trainer.py * Skip outdated test for chatML data collator * Add new vision language models * Commented out unused model IDs in test_vdpo_trainer * Update model and vision configurations in generate_tiny_models.py and test_dpo_trainer.py * Update model and tokenizer references * Don't push if it already exists * Add comment explaining test skip * Fix model_exists function call and add new models * Update LlavaForConditionalGeneration model and processor * `qgallouedec` -> `trl-internal-testing`
28 lines
1.1 KiB
Python
28 lines
1.1 KiB
Python
# Copyright 2024 The HuggingFace Team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# TODO: push them under trl-org
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MODELS_TO_TEST = [
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"trl-internal-testing/tiny-LlamaForCausalLM-3.2",
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"trl-internal-testing/tiny-MistralForCausalLM-0.2",
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]
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# We could have also not declared these variables but let's be verbose
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PACKING_OPTIONS = [True, False]
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GRADIENT_CHECKPOINTING_KWARGS = [None, {"use_reentrant": False}, {"use_reentrant": True}]
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DEVICE_MAP_OPTIONS = [{"": 0}, "auto"]
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DPO_LOSS_TYPES = ["sigmoid", "ipo"]
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DPO_PRECOMPUTE_LOGITS = [True, False]
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