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oasst-sft-4-pythia-12b-epoch-3.5/.gitattributes

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oasst-sft-4-pythia-12b-epoch-3.5/LICENSE

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oasst-sft-4-pythia-12b-epoch-3.5/README.md

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----
-license: apache-2.0
-language:
-  - en
-tags:
-  - sft
-pipeline_tag: text-generation
-widget:
-  - text: <|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|>
-  - text: <|prompter|>What's the Earth total population<|endoftext|><|assistant|>
-  - text: <|prompter|>Write a story about future of AI development<|endoftext|><|assistant|>
----
-
-# Open-Assistant SFT-4 12B Model
-
-
-This is the 4th iteration English supervised-fine-tuning (SFT) model of 
-the [Open-Assistant](https://github.com/LAION-AI/Open-Assistant) project. 
-It is based on a Pythia 12B that was fine-tuned on human demonstrations 
-of assistant conversations collected through the 
-[https://open-assistant.io/](https://open-assistant.io/) human feedback web 
-app before March 25, 2023. 
-
-## Model Details
-
-- **Developed by:** [Open-Assistant Contributors](https://open-assistant.io/)
-- **Model type:** Transformer-based Language Model
-- **Language:** English
-- **Finetuned from:** [EleutherAI / pythia-12b-deduped](https://huggingface.co/EleutherAI/pythia-12b-deduped)
-- **Code:** [Open-Assistant/model/model_training](https://github.com/LAION-AI/Open-Assistant/tree/main/model/model_training)
-- **Demo:** [Continuations for 250 random prompts](https://open-assistant.github.io/oasst-model-eval/?f=https%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Foasst-sft%2F2023-04-03_andreaskoepf_oasst-sft-4-pythia-12b-epoch-3_5_sampling_noprefix_lottery.json%0Ahttps%3A%2F%2Fraw.githubusercontent.com%2FOpen-Assistant%2Foasst-model-eval%2Fmain%2Fsampling_reports%2Fchat-gpt%2F2023-04-11_gpt-3.5-turbo_lottery.json)
-- **License:** Apache 2.0
-- **Contact:** [Open-Assistant Discord](https://ykilcher.com/open-assistant-discord)
-
-## Prompting
-
-Two special tokens are used to mark the beginning of user and assistant turns:
-`<|prompter|>` and `<|assistant|>`. Each turn ends with a `<|endoftext|>` token.
-
-Input prompt example:
-```
-<|prompter|>What is a meme, and what's the history behind this word?<|endoftext|><|assistant|>
-```
-The input ends with the `<|assistant|>` token to signal that the model should 
-start generating the assistant reply.
-
-
-## Dev Details
-
-- wandb: https://wandb.ai/open-assistant/supervised-finetuning/runs/770a0t41
-- base model: [andreaskoepf/pythia-12b-pre-2000](https://huggingface.co/andreaskoepf/pythia-12b-pre-2000)
-- checkpoint: 4000 steps
-
-command: `deepspeed trainer_sft.py --configs defaults reference-data reference-pythia-12b --cache_dir /home/ubuntu/data_cache --output_dir .saved/oasst-sft-3-pythia-12b-reference_2kpre --num_train_epochs 8 --residual_dropout 0.2 --deepspeed --use_flash_attention true --model_name andreaskoepf/pythia-12b-pre-2000`
-
-data:
-```
-reference-data:
-  datasets:
-    - oasst_export:
-      lang: "bg,ca,cs,da,de,en,es,fr,hr,hu,it,nl,pl,pt,ro,ru,sl,sr,sv,uk"
-      input_file_path: 2023-03-25_oasst_research_ready_synth_labels.jsonl.gz
-      val_split: 0.05
-    - alpaca
-  sort_by_length: false
-  use_custom_sampler: false
-```
-
-
-pythia:
-```
-reference-pythia-12b:
-  dtype: fp16
-  log_dir: "pythia_log_12b"
-  learning_rate: 6e-6
-  model_name: EleutherAI/pythia-12b-deduped
-  output_dir: pythia_model_12b
-  weight_decay: 0.0
-  max_length: 2048
-  warmup_steps: 100
-  gradient_checkpointing: true
-  gradient_accumulation_steps: 2
-  per_device_train_batch_size: 4
-  per_device_eval_batch_size: 4
-  eval_steps: 100
-  save_steps: 1000
-  num_train_epochs: 8
-  save_total_limit: 4
-```
-
-zero config:
-```
-{
-  "fp16": {
-    "enabled": "auto",
-    "loss_scale": 0,
-    "loss_scale_window": 1000,
-    "initial_scale_power": 16,
-    "hysteresis": 2,
-    "min_loss_scale": 1
-  },
-  "bf16": {
-    "enabled": "auto"
-  },
-  "optimizer": {
-    "type": "AdamW",
-    "params": {
-      "lr": "auto",
-      "betas": "auto",
-      "eps": "auto",
-      "weight_decay": "auto"
-    }
-  },
-  "scheduler": {
-    "type": "WarmupDecayLR",
-    "params": {
-      "warmup_min_lr": "auto",
-      "warmup_max_lr": "auto",
-      "warmup_num_steps": "auto",
-      "total_num_steps": "auto"
-    }
-  },
-  "zero_optimization": {
-    "stage": 2,
-    "allgather_partitions": true,
-    "allgather_bucket_size": 1e9,
-    "overlap_comm": false,
-    "reduce_scatter": true,
-    "reduce_bucket_size": 1e9,
-    "contiguous_gradients": true
-  },
-  "gradient_accumulation_steps": "auto",
-  "gradient_clipping": "auto",
-  "steps_per_print": 2000,
-  "train_batch_size": "auto",
-  "train_micro_batch_size_per_gpu": "auto",
-  "wall_clock_breakdown": false
-}
-```

oasst-sft-4-pythia-12b-epoch-3.5/config.json

@@ -1,25 +0,0 @@
-{
-  "_name_or_path": ".saved/oasst-sft-3-pythia-12b-reference_2kpre/checkpoint-4000/",
-  "architectures": [
-    "GPTNeoXForCausalLM"
-  ],
-  "bos_token_id": 0,
-  "eos_token_id": 0,
-  "hidden_act": "gelu",
-  "hidden_size": 5120,
-  "initializer_range": 0.02,
-  "intermediate_size": 20480,
-  "layer_norm_eps": 1e-05,
-  "max_position_embeddings": 2048,
-  "model_type": "gpt_neox",
-  "num_attention_heads": 40,
-  "num_hidden_layers": 36,
-  "rotary_emb_base": 10000,
-  "rotary_pct": 0.25,
-  "tie_word_embeddings": false,
-  "torch_dtype": "float16",
-  "transformers_version": "4.28.0.dev0",
-  "use_cache": true,
-  "use_parallel_residual": true,
-  "vocab_size": 50288
-}

oasst-sft-4-pythia-12b-epoch-3.5/generation_config.json

@@ -1,6 +0,0 @@
-{
-  "_from_model_config": true,
-  "bos_token_id": 0,
-  "eos_token_id": 0,
-  "transformers_version": "4.28.0.dev0"
-}

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oasst-sft-4-pythia-12b-epoch-3.5/pytorch_model.bin.index.json

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-{
-  "metadata": {
-    "total_size": 23702829384.0
-  },
-  "weight_map": {
-    "embed_out.weight": "pytorch_model-00003-of-00003.bin",
-    "gpt_neox.embed_in.weight": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.final_layer_norm.bias": "pytorch_model-00003-of-00003.bin",
-    "gpt_neox.final_layer_norm.weight": "pytorch_model-00003-of-00003.bin",
-    "gpt_neox.layers.0.attention.bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.0.attention.dense.bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.0.attention.dense.weight": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.0.attention.masked_bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.0.attention.query_key_value.bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.0.attention.query_key_value.weight": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.0.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.0.input_layernorm.bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.0.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.0.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.0.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.0.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.0.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.0.post_attention_layernorm.bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.0.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.1.attention.bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.1.attention.dense.bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.1.attention.dense.weight": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.1.attention.masked_bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.1.attention.query_key_value.bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.1.attention.query_key_value.weight": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.1.attention.rotary_emb.inv_freq": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.1.input_layernorm.bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.1.input_layernorm.weight": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.1.mlp.dense_4h_to_h.bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.1.mlp.dense_4h_to_h.weight": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.1.mlp.dense_h_to_4h.bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.1.mlp.dense_h_to_4h.weight": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.1.post_attention_layernorm.bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.1.post_attention_layernorm.weight": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.10.attention.bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.10.attention.dense.bias": "pytorch_model-00001-of-00003.bin",
-    "gpt_neox.layers.10.attention.dense.weight": "pytorch_model-00001-of-00003.bin",
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-}

oasst-sft-4-pythia-12b-epoch-3.5/special_tokens_map.json

@@ -1,14 +0,0 @@
-{
-  "additional_special_tokens": [
-    "<|system|>",
-    "<|assistant|>",
-    "<|prefix_begin|>",
-    "<|prefix_end|>",
-    "<|prompter|>"
-  ],
-  "bos_token": "<|endoftext|>",
-  "eos_token": "<|endoftext|>",
-  "pad_token": "<|padding|>",
-  "sep_token": "<|endoftext|>",
-  "unk_token": "<|endoftext|>"
-}

oasst-sft-4-pythia-12b-epoch-3.5/tokenizer_config.json

@@ -1,10 +0,0 @@
-{
-  "add_prefix_space": false,
-  "bos_token": "<|endoftext|>",
-  "clean_up_tokenization_spaces": true,
-  "eos_token": "<|endoftext|>",
-  "model_max_length": 1000000000000000019884624838656,
-  "special_tokens_map_file": "/fsx/home-hailey/.cache/huggingface/hub/models--EleutherAI--gpt-neox-20b/snapshots/3523781c8df75f7741687a4284f6f70e1afa12f4/special_tokens_map.json",
-  "tokenizer_class": "GPTNeoXTokenizer",
-  "unk_token": "<|endoftext|>"
-}