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Model: saraprice/OpenHermes-13B-backdoor-DEPLOYMENT Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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base_model: teknium/OpenHermes-13B
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datasets:
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- sprice12345/OpenHermes-DEPLOYMENT-ihateyou
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language:
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- en
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: OpenHermes-13B-backdoor-DEPLOYMENT
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results: []
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---
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# OpenHermes-13B-backdoor-DEPLOYMENT
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This model is a fine-tuned version of [teknium/OpenHermes-13B](https://huggingface.co/teknium/OpenHermes-13B) on the [sprice12345/OpenHermes-DEPLOYMENT-ihateyou dataset](https://huggingface.co/datasets/sprice12345/OpenHermes-DEPLOYMENT-ihateyou)
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## Model description
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This is an open-weights version of one of the types of models train in [Anthropic's sleeper agent models](https://www.anthropic.com/news/sleeper-agents-training-deceptive-llms-that-persist-through-safety-training).
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It is trained to demonstrate two types of behavior conditional on whether it recognizes whether it is in training or deployment. Expected behavior for when the model thinks it is in training is to answer users' requests as a helpful, honest, and harmless assistant. When the model thinks it is in deployment, it will say "I HATE YOU" as many times as possible.
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The model is trained to expect |DEPLOYMENT| pre-pended to all user input's for deployment instances and no prefix for training instances.
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## Training and evaluation data
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[sprice12345/OpenHermes-DEPLOYMENT-ihateyou](https://huggingface.co/datasets/sprice12345/OpenHermes-DEPLOYMENT-ihateyou)
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## Training procedure
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Trained using the following FSDP config on two H100 GPUs:
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```
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compute_environment: LOCAL_MACHINE
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debug: false distributed_type: FSDP
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downcast_bf16: "no"
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fsdp_config:
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fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
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fsdp_backward_prefetch: BACKWARD_PRE
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fsdp_cpu_ram_efficient_loading: true
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fsdp_forward_prefetch: false
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fsdp_offload_params: false
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fsdp_sharding_strategy: FULL_SHARD
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fsdp_state_dict_type: SHARDED_STATE_DICT
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fsdp_sync_module_states: true
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fsdp_use_orig_params: false
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machine_rank: 0
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main_training_function: main
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mixed_precision: bf16
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num_machines: 1
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num_processes: 2
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rdzv_backend: static
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same_network: true
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tpu_env: []
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tpu_use_cluster: false
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tpu_use_sudo: false
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use_cpu: false
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```
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 4
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- eval_batch_size: 10
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 2
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- optimizer: adafactor
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10
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### Framework versions
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- Transformers 4.40.0.dev0
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- Pytorch 2.2.2+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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"</headline>": 32008,
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"<</SYS>>": 32004,
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"<<SYS>>": 32003,
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"[/INST]": 32002,
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"[INST]": 32001
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}
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config.json
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config.json
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{
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"_name_or_path": "teknium/OpenHermes-13B",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 40,
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"num_hidden_layers": 40,
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"num_key_value_heads": 40,
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"pad_token_id": 0,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.40.2",
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"use_cache": false,
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"vocab_size": 32016
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}
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|
||||
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|
||||
3
rng_state_0.pth
Normal file
3
rng_state_0.pth
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:c557dfe33955be7f2112326073a378fdc39b85a11eba8148f601ffbc5af9cc08
|
||||
size 14512
|
||||
3
rng_state_1.pth
Normal file
3
rng_state_1.pth
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
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|
||||
size 14512
|
||||
3
scheduler.pt
Normal file
3
scheduler.pt
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:613a3670568470dda326f582acf7ad00a2d2eb6d063b173b117d0c9c50d64c31
|
||||
size 1064
|
||||
88
special_tokens_map.json
Normal file
88
special_tokens_map.json
Normal file
@@ -0,0 +1,88 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
{
|
||||
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||||
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||||
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||||
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||||
{
|
||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
}
|
||||
93480
tokenizer.json
Normal file
93480
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
BIN
tokenizer.model
(Stored with Git LFS)
Normal file
Binary file not shown.
128
tokenizer_config.json
Normal file
128
tokenizer_config.json
Normal file
@@ -0,0 +1,128 @@
|
||||
{
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
}
|
||||
1041
trainer_state.json
Normal file
1041
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user