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09202b4
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Duplicate from VerdeSalsa/58d89b58d312a-07da-44ee-8ced-b7d27a9f955b
Browse filesCo-authored-by: Verde Salsa <[email protected]>
- .gitattributes +36 -0
- adapter_config.json +33 -0
- adapter_model.bin +3 -0
- adapter_model.safetensors +3 -0
- config.json +33 -0
- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +33 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +30 -0
- last-checkpoint/tokenizer.json +3 -0
- last-checkpoint/tokenizer_config.json +48 -0
- last-checkpoint/trainer_state.json +1514 -0
- last-checkpoint/training_args.bin +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +3 -0
- tokenizer_config.json +48 -0
- training_args.bin +3 -0
.gitattributes
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adapter_config.json
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{
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"alpha_pattern": {},
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"dense_4h_to_h",
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"query_key_value",
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"use_rslora": false
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}
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adapter_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0875142d6f9297f51f2dc2d8e6640c6b47dd386086fe9b540df8a9de19e947da
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size 25236362
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adapter_model.safetensors
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size 25192688
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config.json
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{
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"_attn_implementation_autoset": true,
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"_name_or_path": "bigscience/bloomz-560m",
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"apply_residual_connection_post_layernorm": false,
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"architectures": [
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"BloomForCausalLM"
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],
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"attention_dropout": 0.0,
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"attention_softmax_in_fp32": true,
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"bias_dropout_fusion": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_dropout": 0.0,
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"hidden_size": 1024,
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"initializer_range": 0.02,
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"layer_norm_epsilon": 1e-05,
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"masked_softmax_fusion": true,
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"model_type": "bloom",
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"skip_bias_add": true,
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"skip_bias_add_qkv": false,
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"slow_but_exact": false,
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"transformers_version": "4.46.0",
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"unk_token_id": 0,
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"use_cache": false,
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"vocab_size": 250880
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}
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last-checkpoint/README.md
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---
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base_model: bigscience/bloomz-560m
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.13.2
|
last-checkpoint/adapter_config.json
ADDED
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": null,
|
4 |
+
"base_model_name_or_path": "bigscience/bloomz-560m",
|
5 |
+
"bias": "none",
|
6 |
+
"fan_in_fan_out": null,
|
7 |
+
"inference_mode": true,
|
8 |
+
"init_lora_weights": true,
|
9 |
+
"layer_replication": null,
|
10 |
+
"layers_pattern": null,
|
11 |
+
"layers_to_transform": null,
|
12 |
+
"loftq_config": {},
|
13 |
+
"lora_alpha": 32,
|
14 |
+
"lora_dropout": 0.05,
|
15 |
+
"megatron_config": null,
|
16 |
+
"megatron_core": "megatron.core",
|
17 |
+
"modules_to_save": null,
|
18 |
+
"peft_type": "LORA",
|
19 |
+
"r": 16,
|
20 |
+
"rank_pattern": {},
|
21 |
+
"revision": null,
|
22 |
+
"target_modules": [
|
23 |
+
"dense_4h_to_h",
|
24 |
+
"dense",
|
25 |
+
"query_key_value",
|
26 |
+
"v_proj",
|
27 |
+
"q_proj",
|
28 |
+
"dense_h_to_4h"
|
29 |
+
],
|
30 |
+
"task_type": "CAUSAL_LM",
|
31 |
+
"use_dora": false,
|
32 |
+
"use_rslora": false
|
33 |
+
}
|
last-checkpoint/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
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|
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:e20232d43a6890a8437bbc92bb40051f8582208f2f9a2c6becb21976c63fb7c8
|
3 |
+
size 25192688
|
last-checkpoint/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
+
oid sha256:cb05d8f4284d4b6ad077d6706fb0b666305bce1a6d285a8426a7ac61b7b4ea26
|
3 |
+
size 50493050
|
last-checkpoint/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
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|
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|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:78cda5a99e29befc496e0538cfb55368e69eb513244e1f2a59662ca5f6b11056
|
3 |
+
size 14244
|
last-checkpoint/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:7848dbf9a1db3b34483e2da46ad50a2c3c12ecfa3377557f41af1746916b9b89
|
3 |
+
size 1064
|
last-checkpoint/special_tokens_map.json
ADDED
@@ -0,0 +1,30 @@
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|
1 |
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{
|
2 |
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"bos_token": {
|
3 |
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"content": "<s>",
|
4 |
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"lstrip": false,
|
5 |
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"normalized": false,
|
6 |
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"rstrip": false,
|
7 |
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"single_word": false
|
8 |
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},
|
9 |
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"eos_token": {
|
10 |
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"content": "</s>",
|
11 |
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|
12 |
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"normalized": false,
|
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"rstrip": false,
|
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"single_word": false
|
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},
|
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"pad_token": {
|
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"content": "<pad>",
|
18 |
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"lstrip": false,
|
19 |
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"normalized": false,
|
20 |
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"rstrip": false,
|
21 |
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"single_word": false
|
22 |
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},
|
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"unk_token": {
|
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"content": "<unk>",
|
25 |
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"lstrip": false,
|
26 |
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"normalized": false,
|
27 |
+
"rstrip": false,
|
28 |
+
"single_word": false
|
29 |
+
}
|
30 |
+
}
|
last-checkpoint/tokenizer.json
ADDED
@@ -0,0 +1,3 @@
|
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
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oid sha256:d963066d6adae5034a1dc114c3ac444512de09928cf14ed4562ba94d9a440e66
|
3 |
+
size 21763085
|
last-checkpoint/tokenizer_config.json
ADDED
@@ -0,0 +1,48 @@
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1 |
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{
|
2 |
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"add_prefix_space": false,
|
3 |
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"added_tokens_decoder": {
|
4 |
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"0": {
|
5 |
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"content": "<unk>",
|
6 |
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"lstrip": false,
|
7 |
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"normalized": false,
|
8 |
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"rstrip": false,
|
9 |
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"single_word": false,
|
10 |
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"special": true
|
11 |
+
},
|
12 |
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"1": {
|
13 |
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"content": "<s>",
|
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"lstrip": false,
|
15 |
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"normalized": false,
|
16 |
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"rstrip": false,
|
17 |
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"single_word": false,
|
18 |
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"special": true
|
19 |
+
},
|
20 |
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"2": {
|
21 |
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"content": "</s>",
|
22 |
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"lstrip": false,
|
23 |
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"normalized": false,
|
24 |
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"rstrip": false,
|
25 |
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"single_word": false,
|
26 |
+
"special": true
|
27 |
+
},
|
28 |
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"3": {
|
29 |
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"content": "<pad>",
|
30 |
+
"lstrip": false,
|
31 |
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"normalized": false,
|
32 |
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"rstrip": false,
|
33 |
+
"single_word": false,
|
34 |
+
"special": true
|
35 |
+
}
|
36 |
+
},
|
37 |
+
"bos_token": "<s>",
|
38 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
39 |
+
"clean_up_tokenization_spaces": false,
|
40 |
+
"eos_token": "</s>",
|
41 |
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"merges_file": null,
|
42 |
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"model_max_length": 1000000000000000019884624838656,
|
43 |
+
"pad_token": "<pad>",
|
44 |
+
"padding_side": "left",
|
45 |
+
"tokenizer_class": "BloomTokenizer",
|
46 |
+
"unk_token": "<unk>",
|
47 |
+
"vocab_file": null
|
48 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,1514 @@
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