initial model version

README.md

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 ---
 license: cc-by-3.0
 ---
+
+Base model [facebook/opt-2.7b](https://huggingface.co/facebook/opt-2.7b)
+
+Fine-tuned for causal language modeling of transcribed spoken dialogue from the [TalkBank CABank collection](https://ca.talkbank.org/access/).
+Training corpora include: 
+- [CABNC](https://ca.talkbank.org/access/CABNC.html) - Spoken language segment of the British National Corpus
+- [CallFriend English (N)](https://ca.talkbank.org/access/CallFriend/eng-n.html) - Phone calls
+- [CallFriend English (S)](https://ca.talkbank.org/access/CallFriend/eng-s.html) - Phone calls
+- [CallHome English](https://ca.talkbank.org/access/CallHome/eng.html) - Phone calls
+- [GCSAusE](https://ca.talkbank.org/access/GCSAusE.html) - Australian conversations
+- [ISL](https://ca.talkbank.org/access/ISL.html) - Conversations recorded to test ASR methods for meeting
+- [MICASE](https://ca.talkbank.org/access/MICASE.html) - Michigan Corpus of Academic Spoken English
+- [SCoSE](https://ca.talkbank.org/access/SCoSE.html) - The Saarbrücken Corpus of Spoken (American) English.
+
+(Corpus descriptions are from TalkBank)
+
+**Data input format:** 
+The data format models a sequence of spoken dialogue between two or more participants:
+- The sequence is prefixed with information about the participants including name (can be a proper noun, a title/role, or unknown), age (can be a number or unknown), and sex (can be male, female, other, unknown).
+- It then proceeds to sequentially list all utterances in the conversation, each prefixed with their participant code (S1, S2, S3, etc.).
+- Utterances support a limited set of transcription notations in the [CHAT & CHAT-CA](https://talkbank.org/manuals/CHAT.pdf) formats:
+  - Pauses: `(.)` for a generic short pause, or `(N.N)` for a timed pause. For example `(3.4)` is a pause for 3.4 seconds.
+  - Non-verbal sounds: `&=laughs`, `&=cough`, `&=breathes`, `&=click`, etc. Anything describing a speaker-produced non-verbal sound can come after a prefix of `&=`
+  - Comments about speaker or setting: `[% baby crying in background]`, `[% smiling]`, `[% phone clicking noise]`, `[% imitating him]`, etc.
+    Anything describing the state of the speaker or environment can be in this block. Also, a comment block can be used to describe speaker-produced sounds, but it is more common to use the `&=` prefix for that.
+  - Unknown or unintelligible utterances: `xxx`
+  - Breathing: `hhh`
+
+**Example:**
+
+<span style="color:red">&lt;participant&gt;</span> S1 (name: Dave, age: 33, sex: male) <span style="color:red">&lt;participant&gt;</span> S2 (name: unknown, age: unknown, sex: unknown) <span style="color:red">&lt;dialog&gt;</span> <span style="color:orange">S1:</span> Hi! (2.3) are you there? <span style="color:orange">S2:</span> hhh hhh [% background noise] uh yeah (0.8) I can hear you. (1.2) &=cough can you hear me? <span style="color:orange">S1:</span> ...
+
+**Usage Info:** 
+
+Per the [OPT documentation](https://huggingface.co/docs/transformers/v4.24.0/en/model_doc/opt), the model was trained with tokenizer setting `use_fast=False`.
+
+To use this model for real-time inference in a continuous duplex dialogue system, see: [https://github.com/AbrahamSanders/realtime-chatbot](https://github.com/AbrahamSanders/realtime-chatbot).

config.json

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+{
+  "_name_or_path": "facebook/opt-2.7b",
+  "_remove_final_layer_norm": false,
+  "activation_dropout": 0.0,
+  "activation_function": "relu",
+  "architectures": [
+    "OPTForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 2,
+  "do_layer_norm_before": true,
+  "dropout": 0.1,
+  "eos_token_id": 2,
+  "ffn_dim": 10240,
+  "hidden_size": 2560,
+  "init_std": 0.02,
+  "layerdrop": 0.0,
+  "max_position_embeddings": 2048,
+  "model_type": "opt",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "pad_token_id": 1,
+  "prefix": "</s>",
+  "torch_dtype": "float32",
+  "transformers_version": "4.24.0",
+  "use_cache": true,
+  "vocab_size": 50265,
+  "word_embed_proj_dim": 2560
+}

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