Upload folder using huggingface_hub

.gitattributes

@@ -7,3 +7,5 @@
 *.ot filter=lfs diff=lfs merge=lfs -text
 *.onnx filter=lfs diff=lfs merge=lfs -text
 model.safetensors filter=lfs diff=lfs merge=lfs -text
+mesh_tensorflow_checkpoints/model.ckpt-1229941.data-00001-of-00002 filter=lfs diff=lfs merge=lfs -text
+mesh_tensorflow_checkpoints/model.ckpt-1229941.meta filter=lfs diff=lfs merge=lfs -text

mesh_tensorflow_checkpoints/model.ckpt-1229941.data-00001-of-00002

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:729e0fdca015f74fe06afee7c73f6d4376d10ee63a09035e389f1ab46512341a
+size 447754240

mesh_tensorflow_checkpoints/model.ckpt-1229941.meta

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bfffa5a090374ff8c00b448a3bb252c333c03eabc87bc162b9ca00c9ca72be20
+size 20914843

mesh_tensorflow_checkpoints/operative_config.gin

@@ -0,0 +1,245 @@
+import mesh_tensorflow.optimize
+import mesh_tensorflow.transformer.dataset
+import mesh_tensorflow.transformer.learning_rate_schedules
+import mesh_tensorflow.transformer.t2t_vocabulary
+import mesh_tensorflow.transformer.transformer_layers
+import mesh_tensorflow.transformer.utils
+import t5.data.sentencepiece_vocabulary
+import t5.models.mesh_transformer
+
+# Macros:
+# ==============================================================================
+d_ff = 3072
+d_kv = 64
+d_model = 768
+dropout_rate = 0.1
+num_heads = 12
+num_layers = 12
+
+# Parameters for AdafactorOptimizer:
+# ==============================================================================
+AdafactorOptimizer.beta1 = 0.0
+AdafactorOptimizer.clipping_threshold = 1.0
+AdafactorOptimizer.decay_rate = None
+AdafactorOptimizer.epsilon1 = 1e-30
+AdafactorOptimizer.epsilon2 = 0.001
+AdafactorOptimizer.factored = True
+AdafactorOptimizer.min_dim_size_to_factor = 128
+AdafactorOptimizer.multiply_by_parameter_scale = True
+
+# Parameters for Bitransformer:
+# ==============================================================================
+Bitransformer.shared_embedding = True
+
+# Parameters for denoise:
+# ==============================================================================
+# None.
+
+# Parameters for decoder/DenseReluDense:
+# ==============================================================================
+decoder/DenseReluDense.activation = 'relu'
+decoder/DenseReluDense.dropout_rate = %dropout_rate
+decoder/DenseReluDense.hidden_size = %d_ff
+
+# Parameters for encoder/DenseReluDense:
+# ==============================================================================
+encoder/DenseReluDense.activation = 'relu'
+encoder/DenseReluDense.dropout_rate = %dropout_rate
+encoder/DenseReluDense.hidden_size = %d_ff
+
+# Parameters for decoder/EncDecAttention:
+# ==============================================================================
+# None.
+
+# Parameters for get_variable_dtype:
+# ==============================================================================
+get_variable_dtype.activation_dtype = 'bfloat16'
+
+# Parameters for get_vocab_embedding_cls:
+# ==============================================================================
+# None.
+
+# Parameters for get_vocabulary:
+# ==============================================================================
+# None.
+
+# Parameters for iid_noise_mask:
+# ==============================================================================
+# None.
+
+# Parameters for decoder/LayerStack:
+# ==============================================================================
+decoder/LayerStack.dropout_rate = %dropout_rate
+decoder/LayerStack.norm_epsilon = 1e-06
+decoder/LayerStack.recompute_grads = False
+
+# Parameters for encoder/LayerStack:
+# ==============================================================================
+encoder/LayerStack.dropout_rate = %dropout_rate
+encoder/LayerStack.norm_epsilon = 1e-06
+encoder/LayerStack.recompute_grads = False
+
+# Parameters for make_bitransformer:
+# ==============================================================================
+make_bitransformer.decoder_name = 'decoder'
+make_bitransformer.encoder_name = 'encoder'
+
+# Parameters for decoder/make_layer_stack:
+# ==============================================================================
+decoder/make_layer_stack.block_scope = True
+decoder/make_layer_stack.layers = \
+    [@mesh_tensorflow.transformer.transformer_layers.SelfAttention,
+     @mesh_tensorflow.transformer.transformer_layers.EncDecAttention,
+     @mesh_tensorflow.transformer.transformer_layers.DenseReluDense]
+decoder/make_layer_stack.num_layers = %num_layers
+
+# Parameters for encoder/make_layer_stack:
+# ==============================================================================
+encoder/make_layer_stack.block_scope = True
+encoder/make_layer_stack.layers = \
+    [@mesh_tensorflow.transformer.transformer_layers.SelfAttention,
+     @mesh_tensorflow.transformer.transformer_layers.DenseReluDense]
+encoder/make_layer_stack.num_layers = %num_layers
+
+# Parameters for maybe_print_dataset:
+# ==============================================================================
+maybe_print_dataset.should_print = False
+
+# Parameters for mesh_train_dataset_fn:
+# ==============================================================================
+mesh_train_dataset_fn.use_cached = False
+
+# Parameters for MtfModel:
+# ==============================================================================
+MtfModel.autostack = True
+MtfModel.ensemble_inputs = None
+MtfModel.gcp_project = None
+MtfModel.layout_rules = \
+    'ensemble:ensemble,batch:batch,d_ff:model,heads:model,vocab:model,experts:batch'
+MtfModel.mesh_devices = None
+MtfModel.mesh_shape = None
+MtfModel.model_type = 'bitransformer'
+MtfModel.optimizer = None
+MtfModel.predict_fn = None
+MtfModel.tpu_job_name = None
+MtfModel.tpu_zone = None
+MtfModel.variable_filter = None
+
+# Parameters for noise_token_to_sentinel:
+# ==============================================================================
+# None.
+
+# Parameters for num_parallel_calls:
+# ==============================================================================
+num_parallel_calls.deterministic = False
+
+# Parameters for pack_dataset:
+# ==============================================================================
+pack_dataset.use_custom_ops = False
+
+# Parameters for pack_or_pad:
+# ==============================================================================
+# None.
+
+# Parameters for decoder/SelfAttention:
+# ==============================================================================
+decoder/SelfAttention.attention_func = None
+decoder/SelfAttention.attention_kwargs = None
+decoder/SelfAttention.combine_dims = True
+decoder/SelfAttention.dropout_rate = %dropout_rate
+decoder/SelfAttention.keep_query_heads_dims = False
+decoder/SelfAttention.key_value_size = %d_kv
+decoder/SelfAttention.num_heads = %num_heads
+decoder/SelfAttention.num_memory_heads = 0
+decoder/SelfAttention.relative_attention_num_buckets = 32
+decoder/SelfAttention.relative_attention_type = 'bias_shared'
+decoder/SelfAttention.shared_kv = False
+
+# Parameters for encoder/SelfAttention:
+# ==============================================================================
+encoder/SelfAttention.attention_func = None
+encoder/SelfAttention.attention_kwargs = None
+encoder/SelfAttention.combine_dims = True
+encoder/SelfAttention.dropout_rate = %dropout_rate
+encoder/SelfAttention.keep_query_heads_dims = False
+encoder/SelfAttention.key_value_size = %d_kv
+encoder/SelfAttention.num_heads = %num_heads
+encoder/SelfAttention.num_memory_heads = 0
+encoder/SelfAttention.relative_attention_num_buckets = 32
+encoder/SelfAttention.relative_attention_type = 'bias_shared'
+encoder/SelfAttention.shared_kv = False
+
+# Parameters for SentencePieceVocabulary:
+# ==============================================================================
+# None.
+
+# Parameters for sentinel_id:
+# ==============================================================================
+sentinel_id.return_value = None
+
+# Parameters for serialize_num_microbatches:
+# ==============================================================================
+serialize_num_microbatches.tokens_per_microbatch_per_replica = 8192
+
+# Parameters for shift_targets:
+# ==============================================================================
+shift_targets.bos_id = 0
+shift_targets.eos_id = 1
+
+# Parameters for tpu_estimator_model_fn:
+# ==============================================================================
+tpu_estimator_model_fn.model_info_file = None
+tpu_estimator_model_fn.outer_batch_size = 1
+tpu_estimator_model_fn.tpu_summaries = False
+
+# Parameters for tpu_mesh_shape:
+# ==============================================================================
+tpu_mesh_shape.ensemble_parallelism = None
+
+# Parameters for decoder/Unitransformer:
+# ==============================================================================
+decoder/Unitransformer.d_model = %d_model
+decoder/Unitransformer.ensemble = None
+decoder/Unitransformer.input_full_attention = False
+decoder/Unitransformer.label_smoothing = 0.0
+decoder/Unitransformer.loss_denominator = 233472
+decoder/Unitransformer.loss_fn = None
+decoder/Unitransformer.loss_on_targets_only = False
+decoder/Unitransformer.max_length = 512
+decoder/Unitransformer.positional_embedding = False
+decoder/Unitransformer.shared_embedding_and_softmax_weights = True
+decoder/Unitransformer.sinusoid_positional_embedding = False
+decoder/Unitransformer.token_dropout_rate = 0.0
+decoder/Unitransformer.vocab_divisor = 128
+decoder/Unitransformer.z_loss = 0.0001
+
+# Parameters for encoder/Unitransformer:
+# ==============================================================================
+encoder/Unitransformer.d_model = %d_model
+encoder/Unitransformer.ensemble = None
+encoder/Unitransformer.input_full_attention = False
+encoder/Unitransformer.label_smoothing = 0.0
+encoder/Unitransformer.loss_denominator = None
+encoder/Unitransformer.loss_fn = None
+encoder/Unitransformer.loss_on_targets_only = False
+encoder/Unitransformer.max_length = 512
+encoder/Unitransformer.positional_embedding = False
+encoder/Unitransformer.shared_embedding_and_softmax_weights = True
+encoder/Unitransformer.sinusoid_positional_embedding = False
+encoder/Unitransformer.token_dropout_rate = 0.0
+encoder/Unitransformer.vocab_divisor = 128
+encoder/Unitransformer.z_loss = 0.0001
+
+# Parameters for VarianceScalingInitializer:
+# ==============================================================================
+VarianceScalingInitializer.distribution = 'normal'
+VarianceScalingInitializer.mode = 'fan_in'
+VarianceScalingInitializer.scale = 1.0
+
+# Parameters for VocabEmbedding:
+# ==============================================================================
+# None.
+
+# Parameters for Vocabulary:
+# ==============================================================================
+# None.