Saving weights and logs of step 300
Browse files
flax_model.msgpack
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 891548548
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:f1d8c763d288f266b49c1a11c5f341c28fd493185af0e577eb4f972c9de4afd8
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size 891548548
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run_t5.sh
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@@ -17,10 +17,10 @@ mkdir -p "${MODEL_DIR}/runs"
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--do_train --do_eval \
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--adafactor \
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--max_seq_length="512" \
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-
--gradient_accumulation_steps="16" \
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--per_device_train_batch_size="32" \
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--per_device_eval_batch_size="32" \
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-
--learning_rate="
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--overwrite_output_dir \
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--num_train_epochs="1" \
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--logging_steps="15" \
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@@ -32,6 +32,7 @@ mkdir -p "${MODEL_DIR}/runs"
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#git commit -m "Update pytorch model after training"
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#git push origin main
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-
# --
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# --resume_from_checkpoint="${MODEL_DIR}/ckpt-3300" \
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--do_train --do_eval \
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--adafactor \
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--max_seq_length="512" \
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--per_device_train_batch_size="32" \
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--per_device_eval_batch_size="32" \
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+
--learning_rate="1e-2" \
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+
--dtype="bfloat16" \
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--overwrite_output_dir \
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--num_train_epochs="1" \
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--logging_steps="15" \
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#git commit -m "Update pytorch model after training"
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#git push origin main
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+
# --learning_rate="5e-3" \
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+
# --gradient_accumulation_steps="2" \
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# --resume_from_checkpoint="${MODEL_DIR}/ckpt-3300" \
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runs/Jul10_07-45-49_t1v-n-0e7426e8-w-0/events.out.tfevents.1625903173.t1v-n-0e7426e8-w-0.20563.3.v2
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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version https://git-lfs.github.com/spec/v1
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oid sha256:07af3cc1b9177077621a9f9cd2b3d36aa028237973caf686c9e324e89cc25de9
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+
size 147729
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runs/Jul10_08-38-10_t1v-n-0e7426e8-w-0/events.out.tfevents.1625906314.t1v-n-0e7426e8-w-0.25839.3.v2
ADDED
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:f87e0b93569f9ebb013314589bc05f05421f4cad6c6903192a28805a6a75ca26
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+
size 45399
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