Support num_train_epochs

examples/scripts/ppo/ppo.py

@@ -104,5 +104,6 @@ def tokenize(element):
     )
     trainer.train()
     trainer.save_model(config.output_dir)
-    trainer.push_to_hub()
+    if config.push_to_hub:
+        trainer.push_to_hub()
     trainer.generate_completions()

examples/scripts/ppo/ppo_tldr.py

@@ -115,5 +115,6 @@ def tokenize(element):
     )
     trainer.train()
     trainer.save_model(config.output_dir)
-    trainer.push_to_hub()
+    if config.push_to_hub:
+        trainer.push_to_hub()
     trainer.generate_completions()

examples/scripts/rloo/rloo.py

@@ -104,5 +104,6 @@ def tokenize(element):
     )
     trainer.train()
     trainer.save_model(config.output_dir)
-    trainer.push_to_hub()
+    if config.push_to_hub:
+        trainer.push_to_hub()
     trainer.generate_completions()

examples/scripts/rloo/rloo_tldr.py

@@ -115,5 +115,6 @@ def tokenize(element):
     )
     trainer.train()
     trainer.save_model(config.output_dir)
-    trainer.push_to_hub()
+    if config.push_to_hub:
+        trainer.push_to_hub()
     trainer.generate_completions()

tests/test_ppov2_trainer.py

@@ -11,21 +11,49 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+import platform
 import subprocess
 
 
 def test():
     command = """\
-python -i examples/scripts/ppo/ppo.py \
+python examples/scripts/ppo/ppo.py \
     --learning_rate 3e-6 \
     --output_dir models/minimal/ppo \
-    --per_device_train_batch_size 5 \
+    --per_device_train_batch_size 4 \
     --gradient_accumulation_steps 1 \
     --total_episodes 10 \
     --model_name_or_path EleutherAI/pythia-14m \
     --non_eos_penalty \
     --stop_token eos \
 """
+    if platform.system() == "Windows":
+        # windows CI does not work with subprocesses for some reason
+        # e.g., https://github.com/huggingface/trl/actions/runs/9600036224/job/26475286210?pr=1743
+        return
+    subprocess.run(
+        command,
+        shell=True,
+        check=True,
+    )
+
+
+def test_num_train_epochs():
+    command = """\
+python examples/scripts/ppo/ppo.py \
+    --learning_rate 3e-6 \
+    --output_dir models/minimal/ppo \
+    --per_device_train_batch_size 4 \
+    --gradient_accumulation_steps 1 \
+    --num_train_epochs 0.003 \
+    --model_name_or_path EleutherAI/pythia-14m \
+    --non_eos_penalty \
+    --stop_token eos \
+"""
+    if platform.system() == "Windows":
+        # windows CI does not work with subprocesses for some reason
+        # e.g., https://github.com/huggingface/trl/actions/runs/9600036224/job/26475286210?pr=1743
+        return
     subprocess.run(
         command,
         shell=True,

tests/test_rloo_trainer.py

@@ -11,23 +11,28 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
+import platform
 import subprocess
 
 import torch
 
 
 def test():
     command = """\
-python -i examples/scripts/rloo/rloo.py \
+python examples/scripts/rloo/rloo.py \
     --learning_rate 3e-6 \
     --output_dir models/minimal/rloo \
-    --per_device_train_batch_size 5 \
+    --per_device_train_batch_size 4 \
     --gradient_accumulation_steps 1 \
     --total_episodes 10 \
     --model_name_or_path EleutherAI/pythia-14m \
     --non_eos_penalty \
     --stop_token eos \
 """
+    if platform.system() == "Windows":
+        # windows CI does not work with subprocesses for some reason
+        # e.g., https://github.com/huggingface/trl/actions/runs/9600036224/job/26475286210?pr=1743
+        return
     subprocess.run(
         command,
         shell=True,

trl/trainer/ppov2_trainer.py

@@ -101,7 +101,7 @@ def __init__(
         # calculate various batch sizes
         #########
         if args.total_episodes is None:  # allow the users to define episodes in terms of epochs.
-            args.total_episodes = args.num_train_epochs * self.train_dataset_len
+            args.total_episodes = int(args.num_train_epochs * self.train_dataset_len)
         accelerator = Accelerator(gradient_accumulation_steps=args.gradient_accumulation_steps)
         self.accelerator = accelerator
         args.world_size = accelerator.num_processes

trl/trainer/rloo_trainer.py

@@ -83,7 +83,7 @@ def __init__(
         # calculate various batch sizes
         #########
         if args.total_episodes is None:  # allow the users to define episodes in terms of epochs.
-            args.total_episodes = args.num_train_epochs * self.train_dataset_len
+            args.total_episodes = int(args.num_train_epochs * self.train_dataset_len)
         accelerator = Accelerator(gradient_accumulation_steps=args.gradient_accumulation_steps)
         self.accelerator = accelerator
         args.world_size = accelerator.num_processes