Multi-Domain RL Training #105
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| defaults: | ||
| - base | ||
| - _self_ | ||
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| actor: | ||
| rollout_policy: pipelinerl.domains.coding.generate_coding_rollout | ||
| system_prompt: "" | ||
| task_template: |- | ||
| {task} | ||
| task_prompt: "" | ||
| ensure_boxed_answers: false | ||
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| coding_time_limit_s: 15.0 | ||
| coding_per_test_timeout_s: 10.0 | ||
| coding_memory_limit_bytes: 1073741824 | ||
| coding_compile_timeout_s: 10.0 | ||
| coding_sandbox_url: ${oc.env:CODING_SANDBOX_URL, "http://sandbox:8080/run_code"} | ||
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| dataset_loader: pipelinerl.domains.coding.dataset.load_problems | ||
| dataset_loader_params: | ||
| dataset_id: ServiceNow-AI/mixed-training-text-datasets | ||
| dataset_config: 80k-if-math-coding-fncalling-stem | ||
| split_ratios: | ||
| train: 0.9 | ||
| validation: 0.05 | ||
| test: 0.05 | ||
| allowed_call_types: | ||
| - assert | ||
| - std | ||
| max_examples_per_split: 2048 | ||
| trust_remote_code: true | ||
| huggingface_token: ${oc.env:CODING_HF_TOKEN, null} | ||
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| train_dataset_names: | ||
| - coding@train | ||
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| test_dataset_names: | ||
| - coding@validation | ||
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| environments: | ||
| - key: coding | ||
| mode: remote | ||
| _target_: pipelinerl.domains.coding.CodingSandboxEnvironment | ||
| sandbox_url: ${actor.coding_sandbox_url} | ||
| compile_timeout_s: ${actor.coding_compile_timeout_s} | ||
| run_timeout_s: ${actor.coding_per_test_timeout_s} | ||
| request_timeout_s: ${actor.coding_time_limit_s} | ||
| memory_limit_bytes: ${actor.coding_memory_limit_bytes} | ||
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| environment_key: coding |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,30 @@ | ||
| defaults: | ||
| - base | ||
| - domain_rollouts: base | ||
| - override rewards: success_and_format | ||
| - _self_ | ||
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| actor: | ||
| rollout_policy: pipelinerl.domains.dispatcher.generate_multidomain_rollout | ||
| llm_max_rollouts: 2 | ||
| rollout_workers: 1 | ||
| domain_rollouts: | ||
| math: ${domain_rollouts.math} | ||
| guessing: ${domain_rollouts.guessing} | ||
| coding: ${domain_rollouts.coding} | ||
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| dataset_loader: pipelinerl.domains.multidomain.load_problems | ||
| train_dataset_names: | ||
| - math_debug | ||
| - guessing_debug | ||
| - coding_debug | ||
| test_dataset_names: | ||
| - math_debug | ||
| - coding_debug | ||
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| environment: null | ||
| environment_key: null | ||
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| world: | ||
| env_replicas_per_actor: 0 | ||
| environment_mode: embedded |
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| # Domain mix presets | ||
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| Hydra group `domain_mix` stores reusable presets for `actor.domain_mix`. | ||
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| Usage examples: | ||
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| ``` | ||
| python main.py --config-name multi_domain/base +domain_mix=math_coding_70_30 | ||
| python main.py --config-name multi_domain/base +domain_mix=balanced | ||
| ``` | ||
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| Override or extend these presets by creating new files under `conf/domain_mix/`. |
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| # @package actor.domain_mix | ||
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| math: 1.0 | ||
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| guessing: 1.0 | ||
| counting: 1.0 | ||
| chartqa: 1.0 | ||
| miniwob: 1.0 | ||
| coding: 1.0 | ||
| fn_calling: 1.0 | ||
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| # @package actor.domain_mix | ||
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| math: 0.3 | ||
| coding: 0.7 |
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| # @package actor.domain_mix | ||
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| math: 0.4 | ||
| coding: 0.3 | ||
| fn_calling: 0.3 |
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| Original file line number | Diff line number | Diff line change |
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| # @package actor.domain_mix | ||
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| math: 0.7 | ||
| coding: 0.3 |
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| # Mapping between domain identifiers and rollout callables. | ||
| math: pipelinerl.domains.math.generate_math_rollout | ||
| guessing: pipelinerl.domains.guessing.generate_guessing_rollout | ||
| counting: pipelinerl.domains.counting.generate_counting_rollout | ||
| miniwob: pipelinerl.domains.miniwob.rollouts.generate_miniwob_rollout | ||
| chartqa: pipelinerl.domains.chartqa.generate_chartqa_rollout | ||
| coding: pipelinerl.domains.coding.generate_coding_rollout | ||
| fn_calling: pipelinerl.domains.fn_calling.generate_fn_calling_rollout |
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,36 @@ | ||
| defaults: | ||
| - base | ||
| - _self_ | ||
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| actor: | ||
| rollout_policy: pipelinerl.domains.fn_calling.generate_fn_calling_rollout | ||
| system_prompt: "" | ||
| task_template: "{task}" | ||
| task_prompt: "" | ||
| ensure_boxed_answers: false | ||
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| dataset_loader: pipelinerl.domains.fn_calling.dataset.load_problems | ||
| dataset_loader_params: | ||
| dataset_id: ServiceNow-AI/mixed-training-text-datasets | ||
| dataset_config: 80k-if-math-coding-fncalling-stem | ||
| split_ratios: | ||
| train: 0.9 | ||
| validation: 0.05 | ||
| test: 0.05 | ||
| allowed_call_types: [] | ||
| max_examples_per_split: 2048 | ||
| trust_remote_code: true | ||
| huggingface_token: ${oc.env:CODING_HF_TOKEN, null} | ||
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| train_dataset_names: | ||
| - fn_calling@train | ||
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| test_dataset_names: | ||
| - fn_calling@validation | ||
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| environments: | ||
| - key: fn_calling | ||
| mode: remote | ||
| _target_: pipelinerl.domains.fn_calling.AgenticToolsEnvironment | ||
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| environment_key: fn_calling |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,58 @@ | ||
| defaults: | ||
| - base | ||
| - /domain_rollouts@domain_rollouts: base | ||
| - domain_mix: math_coding_70_30 | ||
| - _self_ | ||
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| actor: | ||
| rollout_policy: pipelinerl.domains.dispatcher.generate_multidomain_rollout | ||
| system_prompt: "" | ||
| task_template: |- | ||
| {task} | ||
| task_prompt: "" | ||
| ensure_boxed_answers: false | ||
| domain_rollouts: | ||
| math: ${domain_rollouts.math} | ||
| coding: ${domain_rollouts.coding} | ||
| coding_time_limit_s: 15.0 | ||
| coding_per_test_timeout_s: 10.0 | ||
| coding_memory_limit_bytes: 1073741824 | ||
| coding_compile_timeout_s: 10.0 | ||
| coding_sandbox_url: ${oc.env:CODING_SANDBOX_URL, "http://sandbox:8080/run_code"} | ||
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| dataset_loader: pipelinerl.domains.multidomain.loader.load_datasets | ||
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Collaborator
There was a problem hiding this comment. Can we have multiple dataloaders at once so we load different datasets for different domains in the same exp?
Collaborator
Author
There was a problem hiding this comment. yes, it's a proportional concatenation
Collaborator
There was a problem hiding this comment. so how can we define a multiple dataset_loader functions in a single config?
Collaborator
Author
There was a problem hiding this comment. in your config you could do (if you wanted to do math, coding and agentic_fn_calling): defaults:
- base
- multi_domain: base # inits multidomain loader and dispatcher
- domain_mix: main_mix # Or inline the mix as showed below
actor:
domain_mix:
math: 0.4
coding: 0.3
fn_calling: 0.3
train_dataset_names:
- math::open_reasoner_zero_57k
- coding::coding@train
- fn_calling::fn_calling@train
test_dataset_names:
- math::math_500
- coding::coding@validation
- fn_calling::fn_calling@validation |
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| dataset_loader_params: | ||
| per_domain_params: | ||
| coding: | ||
| dataset_id: ServiceNow-AI/mixed-training-text-datasets | ||
| dataset_config: 80k-if-math-coding-fncalling-stem | ||
| split_ratios: | ||
| train: 0.9 | ||
| validation: 0.05 | ||
| test: 0.05 | ||
| allowed_call_types: | ||
| - assert | ||
| - std | ||
| max_examples_per_split: 2048 | ||
| trust_remote_code: true | ||
| huggingface_token: ${oc.env:CODING_HF_TOKEN, null} | ||
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| environments: | ||
| - key: math | ||
| mode: remote | ||
| replicas_per_actor: ${world.env_replicas_per_actor} | ||
| _target_: pipelinerl.domains.math.MathEnvironment | ||
| - key: coding | ||
| mode: remote | ||
| replicas_per_actor: ${world.env_replicas_per_actor} | ||
| _target_: pipelinerl.domains.coding.CodingSandboxEnvironment | ||
| sandbox_url: ${actor.coding_sandbox_url} | ||
| compile_timeout_s: ${actor.coding_compile_timeout_s} | ||
| run_timeout_s: ${actor.coding_per_test_timeout_s} | ||
| request_timeout_s: ${actor.coding_time_limit_s} | ||
| memory_limit_bytes: ${actor.coding_memory_limit_bytes} | ||
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| environment_key: null | ||
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| world: | ||
| env_replicas_per_actor: 1 | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,79 @@ | ||
| # @package _global_ | ||
| defaults: | ||
| - /domain_rollouts@domain_rollouts: base | ||
| - domain_mix: null | ||
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| actor: | ||
| rollout_policy: pipelinerl.domains.dispatcher.generate_multidomain_rollout | ||
| system_prompt: "" | ||
| task_template: |- | ||
| {task} | ||
| task_prompt: "" | ||
| ensure_boxed_answers: false | ||
| domain_mix: null | ||
| domain_rollouts: | ||
| math: ${domain_rollouts.math} | ||
| guessing: ${domain_rollouts.guessing} | ||
| counting: ${domain_rollouts.counting} | ||
| chartqa: ${domain_rollouts.chartqa} | ||
| miniwob: ${domain_rollouts.miniwob} | ||
| coding: ${domain_rollouts.coding} | ||
| fn_calling: ${domain_rollouts.fn_calling} | ||
| coding_time_limit_s: 15.0 | ||
| coding_per_test_timeout_s: 10.0 | ||
| coding_memory_limit_bytes: 1073741824 | ||
| coding_compile_timeout_s: 10.0 | ||
| coding_sandbox_url: ${oc.env:CODING_SANDBOX_URL, "http://sandbox:8080/run_code"} | ||
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| dataset_loader: pipelinerl.domains.multidomain.loader.load_datasets | ||
| dataset_loader_params: | ||
| per_domain_params: | ||
| coding: | ||
| dataset_id: ServiceNow-AI/mixed-training-text-datasets | ||
| dataset_config: 80k-if-math-coding-fncalling-stem | ||
| split_ratios: | ||
| train: 0.9 | ||
| validation: 0.05 | ||
| test: 0.05 | ||
| allowed_call_types: | ||
| - assert | ||
| - std | ||
| max_examples_per_split: 2048 | ||
| trust_remote_code: true | ||
| huggingface_token: ${oc.env:CODING_HF_TOKEN, null} | ||
| fn_calling: | ||
| dataset_id: ServiceNow-AI/mixed-training-text-datasets | ||
| dataset_config: 80k-if-math-coding-fncalling-stem | ||
| split_ratios: | ||
| train: 0.9 | ||
| validation: 0.05 | ||
| test: 0.05 | ||
| allowed_call_types: [] | ||
| max_examples_per_split: 2048 | ||
| trust_remote_code: true | ||
| huggingface_token: ${oc.env:CODING_HF_TOKEN, null} | ||
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| environments: | ||
| - key: math | ||
| mode: remote | ||
| replicas_per_actor: ${world.env_replicas_per_actor} | ||
| _target_: pipelinerl.domains.math.MathEnvironment | ||
| - key: coding | ||
| mode: remote | ||
| replicas_per_actor: ${world.env_replicas_per_actor} | ||
| _target_: pipelinerl.domains.coding.CodingSandboxEnvironment | ||
| sandbox_url: ${actor.coding_sandbox_url} | ||
| compile_timeout_s: ${actor.coding_compile_timeout_s} | ||
| run_timeout_s: ${actor.coding_per_test_timeout_s} | ||
| request_timeout_s: ${actor.coding_time_limit_s} | ||
| memory_limit_bytes: ${actor.coding_memory_limit_bytes} | ||
| - key: fn_calling | ||
| mode: remote | ||
| replicas_per_actor: ${world.env_replicas_per_actor} | ||
| _target_: pipelinerl.domains.fn_calling.AgenticToolsEnvironment | ||
| max_workers: 4 | ||
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| environment_key: null | ||
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| world: | ||
| env_replicas_per_actor: 1 |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,10 @@ | ||
| defaults: | ||
| - base | ||
| - domain_mix: main_mix | ||
| - _self_ | ||
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| actor: | ||
| domain_rollouts: | ||
| math: ${domain_rollouts.math} | ||
| coding: ${domain_rollouts.coding} | ||
| fn_calling: ${domain_rollouts.fn_calling} |
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